George Stathakopoulos

Disclosed are various embodiments for a social networking behavior-based identity system that employs social networking data that a user has elected to share through an opt-in procedure. An assertion of a user identity is received from a client. It is determined whether the assertion of the user identity specifies a correct security credential. Social networking data identifying a circle of friends is received. It is determined whether the user identity belongs to a user at the client based at… Show more

Disclosed are various embodiments for a social networking behavior-based identity system that employs social networking data that a user has elected to share through an opt-in procedure. An assertion of a user identity is received from a client. It is determined whether the assertion of the user identity specifies a correct security credential. Social networking data identifying a circle of friends is received. It is determined whether the user identity belongs to a user at the client based at least in part on a reputation of one or more members of the circle of friends and whether the assertion of the user identity specifies the correct security credential. Show less

A service provider or service of the service provider may generate authentication information based on information provided by a user. The information provided by the user may include a selection of a media object, information indicating a segment of the media object, and an indication of an action to be performed by the user. This information may be saved by the service provider and used at some point in time later to determine whether to provide access to restricted computing resources based… Show more

A service provider or service of the service provider may generate authentication information based on information provided by a user. The information provided by the user may include a selection of a media object, information indicating a segment of the media object, and an indication of an action to be performed by the user. This information may be saved by the service provider and used at some point in time later to determine whether to provide access to restricted computing resources based at least in part on an authentication claim provided by the user. The authentication claim may be generated by a computing device operated by the user and may include information corresponding to the media object, the indicated segment of the media object, and the action performed by the user. Show less

A method and apparatus for device authentication are provided. In the method and apparatus, authentication data for a first device is received. The first device is then authenticated based at least in part on demonstrated access to authentication data prior to broadcast of the authentication data. One or more actions may be taken in response to the authentication of the first device based at least in part on the demonstrated access to the authentication data.

Disclosed are various embodiments for providing a honeypot environment in response to incorrect security credentials being provided. An authentication request for an account to log into an application is received from a client. It is determined that the authentication request specifies an incorrect security credential for the account. The client is then provided with access to a honeypot environment in response to the authentication request. The honeypot environment is configured to mimic a… Show more

Disclosed are various embodiments for providing a honeypot environment in response to incorrect security credentials being provided. An authentication request for an account to log into an application is received from a client. It is determined that the authentication request specifies an incorrect security credential for the account. The client is then provided with access to a honeypot environment in response to the authentication request. The honeypot environment is configured to mimic a successful login to the application via the account. Show less

A monitoring service receives, from a variety of hardware components of a set of computer systems, binary signals indicative of operation of these components. The monitoring service determines, based at least in part on these signals, a set of beat frequencies for pairings of hardware components of the set of computer systems. The monitoring service uses this set of beat frequencies, as well as information included in a profile for the set of computer systems, to determine whether there is any… Show more

A monitoring service receives, from a variety of hardware components of a set of computer systems, binary signals indicative of operation of these components. The monitoring service determines, based at least in part on these signals, a set of beat frequencies for pairings of hardware components of the set of computer systems. The monitoring service uses this set of beat frequencies, as well as information included in a profile for the set of computer systems, to determine whether there is any indication of anomalous behavior in operation of the set of computer systems. If so, the monitoring service generates one or more alerts indicating the anomalous behavior. Show less

A customer submits a request for assistance to a customer service. Accordingly, the customer service may access a customer database to obtain one or more customer preferences that can be used to select a service representative. If the customer database does not include these preferences, the customer service may utilize one or more customer attributes to calculate these one or more customer preferences. Subsequently, the customer service may access a service representative database and select a… Show more

A customer submits a request for assistance to a customer service. Accordingly, the customer service may access a customer database to obtain one or more customer preferences that can be used to select a service representative. If the customer database does not include these preferences, the customer service may utilize one or more customer attributes to calculate these one or more customer preferences. Subsequently, the customer service may access a service representative database and select a service representative based at least in part on the one or more customer preferences. The customer service may transmit the request to the selected service representative to enable the service representative to assist the customer.

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A service receives a request from a user of a group of users to perform one or more operations requiring group authentication in order for the operations to be performed. In response, the service provides a first user of the group with an image seed and an ordering of the group of users. Each user of the group applies a transformation algorithm to the seed to create an authentication claim. The service receives this claim and determines, based at least in part on the ordering of the group of… Show more

A service receives a request from a user of a group of users to perform one or more operations requiring group authentication in order for the operations to be performed. In response, the service provides a first user of the group with an image seed and an ordering of the group of users. Each user of the group applies a transformation algorithm to the seed to create an authentication claim. The service receives this claim and determines, based at least in part on the ordering of the group of users, an ordered set of transformations, which are used to create a reference image file. If the received claim matches the reference image file, the service enables performance of the requested one or more operations.

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Techniques are described for preventing a software module from executing in an unauthorized environment. A software module may be configured to collect context information that describes an environment in which the software module is executing. If the context information indicates that the environment is unauthorized for executing the software module, the software module may alter its behavior(s) or its binary signature to simulate a threat. Threat detection module(s), such as anti-virus… Show more

Techniques are described for preventing a software module from executing in an unauthorized environment. A software module may be configured to collect context information that describes an environment in which the software module is executing. If the context information indicates that the environment is unauthorized for executing the software module, the software module may alter its behavior(s) or its binary signature to simulate a threat. Threat detection module(s), such as anti-virus software, anti-malware software, and so forth, may then identify the software module as a threat and disable its execution or perform other actions. In some cases, the analysis of the context information may be performed on server device(s), which may send a signal to cause the software module to alter its behavior(s) or its binary signature. Show less

A web application on a client computer system submits a web request to a destination Web server via a network application programming interface. A web request scrubber is installed on the client computer system between the network application programming interface and a network interface of the client computer system. The web request scrubber intercepts the web request and determines if an HTTP referer field is present. Based at least in part on the intended destination of the web request, the… Show more

A web application on a client computer system submits a web request to a destination Web server via a network application programming interface. A web request scrubber is installed on the client computer system between the network application programming interface and a network interface of the client computer system. The web request scrubber intercepts the web request and determines if an HTTP referer field is present. Based at least in part on the intended destination of the web request, the web request scrubber identifies and applies an applicable scrubbing policy to the information in the HTTP referer field. The web request scrubber removes or modifies some or all of the information in the HTTP referer field in accordance with the applicable scrubbing policy, and forwards the modified web request to the destination Web server via the network interface of the client computer system. Show less

Techniques for improving computer system security by detecting and responding to attacks on computer systems are described herein. A computer system monitors communications requests from external systems and, as a result of detecting one or more attacks on the computer system, the computer system responds to the attacks by analyzing the behavior of the attacker, relating that behavior to one or more attack profiles and creating a simulated environment to respond to the attack based in part on… Show more

Techniques for improving computer system security by detecting and responding to attacks on computer systems are described herein. A computer system monitors communications requests from external systems and, as a result of detecting one or more attacks on the computer system, the computer system responds to the attacks by analyzing the behavior of the attacker, relating that behavior to one or more attack profiles and creating a simulated environment to respond to the attack based in part on the attack profiles. The simulated environment responds to the attack by communicating with the attacker. Show less

Techniques described and suggested herein include the use of transformation parameters, such as mathematical and/or cryptographic operations, to permute various aspects of executables so as to control executable code authorized to run on one or more hosts. For example, a set of transformation parameters, such as a mathematical operation and a specified value upon which the mathematical operation may operate, are associated with a host or group of hosts. The set of transformation parameters may… Show more

Techniques described and suggested herein include the use of transformation parameters, such as mathematical and/or cryptographic operations, to permute various aspects of executables so as to control executable code authorized to run on one or more hosts. For example, a set of transformation parameters, such as a mathematical operation and a specified value upon which the mathematical operation may operate, are associated with a host or group of hosts. The set of transformation parameters may be applied to one or more runtime-related numerical locations associated with an executable that is intended to run on the specified hosts. At runtime, appropriately encoded executables are decoded by the specified hosts and operate normally, while differently encoded or unencoded executables are inoperable by the specified hosts.

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Complex web applications may be susceptible to cyber-attacks that affect the security of customer sessions. Session theft and exploitation may be predicted and controlled by monitoring records of requests made to the web application and providing notifications of possible compromise of a session, session service or a machine using a session service.

Disclosed are various embodiments for testing the security incident response of an organization through automated injection of a known indicator of compromise. A stream of event data generated by a network monitoring system of an organization is received. The stream of event data is modified to include data embodying a fabricated indicator of compromise. The stream of event data that has been modified is then provided to an intrusion detection system of the organization. Metrics are then… Show more

Disclosed are various embodiments for testing the security incident response of an organization through automated injection of a known indicator of compromise. A stream of event data generated by a network monitoring system of an organization is received. The stream of event data is modified to include data embodying a fabricated indicator of compromise. The stream of event data that has been modified is then provided to an intrusion detection system of the organization. Metrics are then generated that assess the response of the organization to the fabricated indicator of compromise.

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Disclosed are various embodiments for a social networking behavior-based identity system that employs social networking data that a user has elected to share through an opt-in procedure. First social networking data is stored in association with a user identity. An assertion of the user identity is received from a client after the first social networking data is stored. Second social networking data is received in response to receiving the assertion of the user identity. An identity confidence… Show more

Disclosed are various embodiments for a social networking behavior-based identity system that employs social networking data that a user has elected to share through an opt-in procedure. First social networking data is stored in association with a user identity. An assertion of the user identity is received from a client after the first social networking data is stored. Second social networking data is received in response to receiving the assertion of the user identity. An identity confidence level as to whether the user identity belongs to a user at the client is generated based at least in part on a comparison of the second social networking data with the first social networking data.

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A method and apparatus for deterring exfiltration of data from are provided. In the method and apparatus, it is determined that data is to be inflated. A request for access to data is received and data responsive to the request is retrieved. Spurious data is also generated and provided together with the responsive data in response to the request.

Disclosed are various embodiments that model a network security environment as a game. A data model corresponding to a network security environment is received. A gaming environment is generated based at least in part on the data model. The gaming environment represents a decontextualized version of the network security environment.

Techniques are described for employing a crowdsourcing framework to analyze data related to the performance or operations of computing systems, or to analyze other types of data. A question is analyzed to determine data that is relevant to the question. The relevant data may be decontextualized to remove or alter contextual information included in the data, such as sensitive, personal, or business-related data. The question and the decontextualized data may then be presented to workers in a… Show more

Techniques are described for employing a crowdsourcing framework to analyze data related to the performance or operations of computing systems, or to analyze other types of data. A question is analyzed to determine data that is relevant to the question. The relevant data may be decontextualized to remove or alter contextual information included in the data, such as sensitive, personal, or business-related data. The question and the decontextualized data may then be presented to workers in a crowdsourcing framework, and the workers may determine an answer to the question based on an analysis or an examination of the decontextualized data. The answers may be combined, correlated, or otherwise processed to determine a processed answer to the question. Show less

Disclosed are various embodiments for a behavior-based identity system that recognizes and/or authenticates users based at least in part on determining stored behavioral events. For example, stored behavioral events may have been observed previously at a client or have been predefined by an authenticated user. Multiple behavioral events expressed by the client relative to a network site are recorded. The behavioral events may correspond to data that a user has elected to share, and the user may… Show more

Disclosed are various embodiments for a behavior-based identity system that recognizes and/or authenticates users based at least in part on determining stored behavioral events. For example, stored behavioral events may have been observed previously at a client or have been predefined by an authenticated user. Multiple behavioral events expressed by the client relative to a network site are recorded. The behavioral events may correspond to data that a user has elected to share, and the user may opt-in or opt-out of the behavior-based identity system. A comparison is performed between the multiple observed behavioral events and the stored behavioral events associated with a user identity. An inverse identity confidence score as to whether the user identity does not belong to a user at the client is generated based at least in part on the comparison.

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The present disclosure relates to multifactor-based authentication systems. Multifactor authentication occurs during a communication session in response to detecting a trigger event, such as an anomalous condition. Historical metrics, such as performance metrics (e.g., rendering speeds), behavioral metrics (e.g., click-stream behavior), environmental metrics (e.g., noise), etc., can be used as a baseline to compare against metrics for a current communication session. An anomalous condition… Show more

The present disclosure relates to multifactor-based authentication systems. Multifactor authentication occurs during a communication session in response to detecting a trigger event, such as an anomalous condition. Historical metrics, such as performance metrics (e.g., rendering speeds), behavioral metrics (e.g., click-stream behavior), environmental metrics (e.g., noise), etc., can be used as a baseline to compare against metrics for a current communication session. An anomalous condition, such as a current session metric exceeding a threshold, can result in an authentication service transmitting a multifactor authentication request. Show less

The techniques described herein provide evaluations of a production system's ability to recover from a service disruption without actually disrupting service to the production system. In some examples, a live production system is at least partly duplicated to create a shadow production system that is a quarantined copy of the production system. Traffic between the production system, client devices, and possibly dependency services may be replicated onto the shadow production system while a… Show more

The techniques described herein provide evaluations of a production system's ability to recover from a service disruption without actually disrupting service to the production system. In some examples, a live production system is at least partly duplicated to create a shadow production system that is a quarantined copy of the production system. Traffic between the production system, client devices, and possibly dependency services may be replicated onto the shadow production system while a recovery simulation service induces a specified type of service disruption onto the shadow production system. Behavior of the shadow production system during service disruption is used to identify performance differences and to evaluate expected recovery characteristics of the live production system. Show less

A service receives a request from a user of a group of users to perform one or more operations requiring group authentication in order for the operations to be performed. In response, the service provides a first user of the group with a musical seed and an ordering of the group of users. Each user of the group applies a transformation algorithm to the seed to create an authentication claim. The service receives this claim and determines, based at least in part on the ordering of the group of… Show more

A service receives a request from a user of a group of users to perform one or more operations requiring group authentication in order for the operations to be performed. In response, the service provides a first user of the group with a musical seed and an ordering of the group of users. Each user of the group applies a transformation algorithm to the seed to create an authentication claim. The service receives this claim and determines, based at least in part on the ordering of the group of users, an ordered set of transformations, which are used to create a reference audio signal. If the received claim matches the reference audio signal, the service enables performance of the requested one or more operations. Show less

Data of an organization or other entity may be protected using active data objects. The data may be storage in a storage system maintained by the organization or a separate organization. The data storage system may receive request for data, if the request violates one or more constraint conditions, the storage system may provide in response to the received request active data. The active data may include executable code that, when executed by a computer system, causes depletion of one or more… Show more

Data of an organization or other entity may be protected using active data objects. The data may be storage in a storage system maintained by the organization or a separate organization. The data storage system may receive request for data, if the request violates one or more constraint conditions, the storage system may provide in response to the received request active data. The active data may include executable code that, when executed by a computer system, causes depletion of one or more resources used by a computer system executing the code. Show less

A method and apparatus for device authentication are provided. In the method and apparatus, authentication data for a first device is received. The first device is then authenticated based at least in part on demonstrated access to authentication data prior to broadcast of the authentication data. One or more actions may be taken in response to the authentication of the first device based at least in part on the demonstrated access to the authentication data.

A customer submits a request for assistance to a customer service. Accordingly, the customer service may access a customer database to obtain one or more customer preferences that can be used to select a service representative. If the customer database does not include these preferences, the customer service may utilize one or more customer attributes to calculate these one or more customer preferences. Subsequently, the customer service may access a service representative database and select a… Show more

A customer submits a request for assistance to a customer service. Accordingly, the customer service may access a customer database to obtain one or more customer preferences that can be used to select a service representative. If the customer database does not include these preferences, the customer service may utilize one or more customer attributes to calculate these one or more customer preferences. Subsequently, the customer service may access a service representative database and select a service representative based at least in part on the one or more customer preferences. The customer service may transmit the request to the selected service representative to enable the service representative to assist the customer. Show less

Abstract
A method and apparatus for deterring exfiltration of data from are provided. In the method and apparatus, it is determined that data is to be inflated. A request for access to data is received and data responsive to the request is retrieved. Spurious data is also generated and provided together with the responsive data in response to the request.

A monitoring service receives, from a variety of hardware components of a set of computer systems, binary signals indicative of operation of these components. The monitoring service determines, based at least in part on these signals, a set of beat frequencies for pairings of hardware components of the set of computer systems. The monitoring service uses this set of beat frequencies, as well as information included in a profile for the set of computer systems, to determine whether there is any… Show more

A monitoring service receives, from a variety of hardware components of a set of computer systems, binary signals indicative of operation of these components. The monitoring service determines, based at least in part on these signals, a set of beat frequencies for pairings of hardware components of the set of computer systems. The monitoring service uses this set of beat frequencies, as well as information included in a profile for the set of computer systems, to determine whether there is any indication of anomalous behavior in operation of the set of computer systems. If so, the monitoring service generates one or more alerts indicating the anomalous behavior. Show less

An accessory device or rechargeable energy pack includes a rechargeable battery or other energy storage that is rechargeable by way of an external source. Energy stored within the accessory device may be used recharge one or more other load devices, such as portable computers, smart phones, or other apparatus. The accessory device may be configured to estimate operating times for such various load devices based on their own respective, stored energy levels, and to communicate those estimates to… Show more

An accessory device or rechargeable energy pack includes a rechargeable battery or other energy storage that is rechargeable by way of an external source. Energy stored within the accessory device may be used recharge one or more other load devices, such as portable computers, smart phones, or other apparatus. The accessory device may be configured to estimate operating times for such various load devices based on their own respective, stored energy levels, and to communicate those estimates to the load devices or other entities. The accessory device may control an amount of energy delivered to a load device based on estimated energy consumption for a future period of time. Operating times for respective load devices may be increased or managed by way of operations and resources of the accessory device. Show less

A computing device monitors the energy level of a rechargeable battery, from which the device draws operating power. Historic usage data is used to estimate the time remaining in a present operating period, such as a workday, as well as to estimate the battery level required to provide power during that period of time. A user is then presented with information regarding the status of the battery, as well as charging time and required battery level estimates. Information regarding charging… Show more

A computing device monitors the energy level of a rechargeable battery, from which the device draws operating power. Historic usage data is used to estimate the time remaining in a present operating period, such as a workday, as well as to estimate the battery level required to provide power during that period of time. A user is then presented with information regarding the status of the battery, as well as charging time and required battery level estimates. Information regarding charging stations within publically or otherwise user-accessible venues near to the present location of the computing device is accessed and presented to the user. Reservations may be made for a charging port within a selected venue, an order may be placed for goods or services available at that venue, or other actions may be performed. Show less

The present disclosure relates to multifactor-based authentication systems. Multifactor authentication occurs during a communication session in response to detecting a trigger event, such as an anomalous condition. Historical metrics, such as performance metrics (e.g., rendering speeds), behavioral metrics (e.g., click-stream behavior), environmental metrics (e.g., noise), etc., can be used as a baseline to compare against metrics for a current communication session. An anomalous condition… Show more

The present disclosure relates to multifactor-based authentication systems. Multifactor authentication occurs during a communication session in response to detecting a trigger event, such as an anomalous condition. Historical metrics, such as performance metrics (e.g., rendering speeds), behavioral metrics (e.g., click-stream behavior), environmental metrics (e.g., noise), etc., can be used as a baseline to compare against metrics for a current communication session. An anomalous condition, such as a current session metric exceeding a threshold, can result in an authentication service transmitting a multifactor authentication request. Show less

Triggering a request for an authentication

Abstract
The present disclosure relates to multifactor-based authentication systems. Multifactor authentication occurs during a communication session in response to detecting a trigger event, such as an anomalous condition. Historical metrics, such as performance metrics (e.g., rendering speeds), behavioral metrics (e.g., click-stream behavior), environmental metrics (e.g., noise), etc., can be used as a baseline to compare against metrics… Show more

Triggering a request for an authentication

Abstract
The present disclosure relates to multifactor-based authentication systems. Multifactor authentication occurs during a communication session in response to detecting a trigger event, such as an anomalous condition. Historical metrics, such as performance metrics (e.g., rendering speeds), behavioral metrics (e.g., click-stream behavior), environmental metrics (e.g., noise), etc., can be used as a baseline to compare against metrics for a current communication session. An anomalous condition, such as a current session metric exceeding a threshold, can result in an authentication service transmitting a multifactor authentication request.

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A method and apparatus for device authentication are provided. In the method and apparatus, authentication data for a first device is received. The first device is then authenticated based at least in part on demonstrated access to authentication data prior to broadcast of the authentication data. One or more actions may be taken in response to the authentication of the first device based at least in part on the demonstrated access to the authentication data.

Techniques for improving computer system security by detecting and responding to attacks on computer systems are described herein. A computer system monitors communications requests from external systems and, as a result of detecting one or more attacks on the computer system, the computer system responds to the attacks by modifying the behavior of the computer system. The behavior of the computer system is modified so that responses to communications requests to ports on the computer system… Show more

Techniques for improving computer system security by detecting and responding to attacks on computer systems are described herein. A computer system monitors communications requests from external systems and, as a result of detecting one or more attacks on the computer system, the computer system responds to the attacks by modifying the behavior of the computer system. The behavior of the computer system is modified so that responses to communications requests to ports on the computer system are altered, presenting the attacker with an altered representation of the computer system and thereby delaying or frustrating the attack and the attacker. Show less

Techniques are described for employing a crowdsourcing framework to analyze data related to the performance or operations of computing systems, or to analyze other types of data. A question is analyzed to determine data that is relevant to the question. The relevant data may be decontextualized to remove or alter contextual information included in the data, such as sensitive, personal, or business-related data. The question and the decontextualized data may then be presented to workers in a… Show more

Techniques are described for employing a crowdsourcing framework to analyze data related to the performance or operations of computing systems, or to analyze other types of data. A question is analyzed to determine data that is relevant to the question. The relevant data may be decontextualized to remove or alter contextual information included in the data, such as sensitive, personal, or business-related data. The question and the decontextualized data may then be presented to workers in a crowdsourcing framework, and the workers may determine an answer to the question based on an analysis or an examination of the decontextualized data. The answers may be combined, correlated, or otherwise processed to determine a processed answer to the question. Machine learning techniques are employed to adjust and refine the decontextualization. Show less

Content corresponding to a literary work, movie, audio presentation, or other media is provided to a computing device associated with a user. Immersive content related to the content may be communicated to a computing device and presented to the user at times when the content is not being consumed. The formatting, communicational modes, apparent source, subject matter, or other aspects of the immersive content may correspond to the preferences or other information provided by the user. In this… Show more

Content corresponding to a literary work, movie, audio presentation, or other media is provided to a computing device associated with a user. Immersive content related to the content may be communicated to a computing device and presented to the user at times when the content is not being consumed. The formatting, communicational modes, apparent source, subject matter, or other aspects of the immersive content may correspond to the preferences or other information provided by the user. In this way, user engagement with a story or other media may be stimulated or enhanced when the user is not actively consuming the primary content. Show less

Disclosed are various embodiments for a social networking behavior-based identity system that employs social networking data that a user has elected to share through an opt-in procedure. First social networking data is stored in association with a user identity. An assertion of the user identity is received from a client after the first social networking data is stored. Second social networking data is received in response to receiving the assertion of the user identity. An identity confidence… Show more

Disclosed are various embodiments for a social networking behavior-based identity system that employs social networking data that a user has elected to share through an opt-in procedure. First social networking data is stored in association with a user identity. An assertion of the user identity is received from a client after the first social networking data is stored. Second social networking data is received in response to receiving the assertion of the user identity. An identity confidence level as to whether the user identity belongs to a user at the client is generated based at least in part on a comparison of the second social networking data with the first social networking data. Show less

Disclosed are various embodiments for a behavior-based identity system that recognizes and/or authenticates users based at least in part on stored behavioral events which have been observed previously or have been preconfigured. Multiple behavioral events expressed by a client relative to multiple resources of a network site are observed. The behavioral events correspond to data that a user has elected to share, and the user may opt-in or opt-out of the behavior-based identity system. A… Show more

Disclosed are various embodiments for a behavior-based identity system that recognizes and/or authenticates users based at least in part on stored behavioral events which have been observed previously or have been preconfigured. Multiple behavioral events expressed by a client relative to multiple resources of a network site are observed. The behavioral events correspond to data that a user has elected to share, and the user may opt-in or opt-out of the behavior-based identity system. A comparison is performed between the observed behavioral events and multiple stored behavioral events associated with a user identity. An identity confidence level as to whether the user identity belongs to a user at the client is generated based at least in part on the comparison. Show less

A plurality of phrases may be extracted from documents associated with one or more document sources. The plurality of phrases may be filtered and processed to determine a frequency in which the plurality of phrases appear in the documents and/or a number of the document sources in which each phrase appears. A weight may be assigned to each of the phrases and, based at least in part on the assigned weight, a visual representation of the plurality of phrases may be presented. The visual… Show more

A plurality of phrases may be extracted from documents associated with one or more document sources. The plurality of phrases may be filtered and processed to determine a frequency in which the plurality of phrases appear in the documents and/or a number of the document sources in which each phrase appears. A weight may be assigned to each of the phrases and, based at least in part on the assigned weight, a visual representation of the plurality of phrases may be presented. The visual representation may be dynamically updated based at least in part on an updated frequency or an updated total number of document sources associated with any one of the plurality of phrases. Show less

A system by which a software product may be tested on multiple client computers on various platforms. Product developers submit requests for tests on their products, in the form of test packets, to a test component, via an API. For each platform and language (i.e., group) on which a product developer wants a product tested, the product developer provides a test packet that defines tests that the product developer wants conducted on the product in that group. The test component searches, via an… Show more

A system by which a software product may be tested on multiple client computers on various platforms. Product developers submit requests for tests on their products, in the form of test packets, to a test component, via an API. For each platform and language (i.e., group) on which a product developer wants a product tested, the product developer provides a test packet that defines tests that the product developer wants conducted on the product in that group. The test component searches, via an autolab component, for an available client machine for performing the tests in the test packet. The autolab component finds an available client computer, and the client machine is assigned the test packet. The client machine performs the tasks in the test packet, and forwards the results back to the test component. Show less