Abstract: A computer-implemented method includes identifying one or more sensor identifiers; identifying one or more activity conclusions; and identifying one or more activity derivation rules each associated with at least one of the one or more sensor identifiers and at least one of the one or more activity conclusions. The computer-implemented method further includes determining, for each of the one or more sensor identifiers, an overall predominance value based on at least one of the one or more activity derivation rules, wherein the predominance value is an estimation of the synergic significance of each of the one or more sensor identifiers to the one or more activity derivation rules. A corresponding computer program product and computer system are also disclosed.

Abstract: In response to a posting of a negative review of an information technology item, external environmental context data is collected that comprehends processing environment attributes of an external process that interacts with the item in a reviewed performance of the item. An attribute of the item criticized in the review is correlated with an attribute of the external environmental context data as a function of contemporaneous time of occurrence. Degrees of likelihood as the principal cause of the negative review are determined for the attributes of the information technology item and for the correlated external environmental context data attribute. The negative review is determined to be a false negative review if the degree of likelihood that the correlated attribute of the external environmental context data is the principal cause is higher than the degree of likelihood that the criticized attribute of the information technology item is the principal cause.

Abstract: Identification and dynamic ranking of performance issues. For an instance of a performance anti-pattern, identifying and recording information relating to a resultant performance issue, quantifying the magnitude of the performance issue, and dynamically ranking the performance issue against other performance issues.

Abstract: A computer-implemented method includes identifying one or more sensor identifiers; identifying one or more activity conclusions; and identifying one or more activity derivation rules each associated with at least one of the one or more sensor identifiers and at least one of the one or more activity conclusions. The computer-implemented method further includes determining, for each of the one or more sensor identifiers, an overall predominance value based on at least one of the one or more activity derivation rules, wherein the predominance value is an estimation of the synergic significance of each of the one or more sensor identifiers to the one or more activity derivation rules. A corresponding computer program product and computer system are also disclosed.

Abstract: Methods, systems, and articles of manufacture for automatically fixing inaccessible widgets during mobile application execution are provided herein. A method includes identifying an image element from a set of one or more user interface elements of an application that are inaccessible to a given set of users; generating a text description associated with the image element; extracting a portion of the text description related to an accessibility property of the image element; and adjusting the accessibility property of the image element to render the image element accessible to the given set of users.

Abstract: Mobile application reviewing is provided. An interaction, made by a user of a wearable device is identified. One or more facial expression data is received. A screenshot of a mobile application on a mobile device is captured. A user sentiment, corresponding to the screenshot, is determined, wherein the sentiment is based on the facial expression data. A mobile application rating corresponding to the user is determined wherein the mobile application rating is based on one or more screenshot ratings corresponding to the user.

Abstract: Mobile application reviewing is provided. An interaction, made by a user of a wearable device is identified. One or more facial expression data is received. A screenshot of a mobile application on a mobile device is captured. A user sentiment, corresponding to the screenshot, is determined, wherein the sentiment is based on the facial expression data. A mobile application rating corresponding to the user is determined wherein the mobile application rating is based on one or more screenshot ratings corresponding to the user.

Abstract: Systems, methods, and computer program products to perform an operation comprising receiving, via an interface, a first review specifying a first rating value, a second rating value, and a textual review for an application in an application store, associating the first review in the application store with the first rating value, invoking a semantics analysis engine to determine that the textual review specifies a first known performance issue for the application, determining, based on an update to the application and reviews for the application received subsequent to the update to the application, that the first known performance issue has been resolved, and associating the first review in the application store with the second rating value.

Abstract: A computer-implemented method includes identifying one or more sensor identifiers; identifying one or more activity conclusions; and identifying one or more activity derivation rules each associated with at least one of the one or more sensor identifiers and at least one of the one or more activity conclusions. The computer-implemented method further includes determining, for each of the one or more sensor identifiers, an overall predominance value based on at least one of the one or more activity derivation rules, wherein the predominance value is an estimation of the synergic significance of each of the one or more sensor identifiers to the one or more activity derivation rules. A corresponding computer program product and computer system are also disclosed.

Abstract: A method for monitoring software application performance and one or more device states affecting a software application on a periodic basis on a mobile device. The method includes one or more computer processors identifying a software application on a mobile device. The method further includes the one or more computer processors identifying a plurality of sampling plans and one or more respective triggers within the plurality of sampling plans that are respectively associated with the software application and are stored on the mobile device. The method further includes the one or more computer processors determining a first value associated with the one or more respective triggers. The method further includes the one or more computer processors selecting a first sampling plan from the plurality of sampling plans for the software application based, at least in part, on the value associated with the one or more respective triggers.

Abstract: Identification and dynamic ranking of performance issues. For an instance of a performance anti-pattern, identifying and recording information relating to a resultant performance issue, quantifying the magnitude of the performance issue, and dynamically ranking the performance issue against other performance issues.

Abstract: In an approach to test automation of an application under test which interacts with one or more native stock applications, a computer identifies one or more native stock applications on a mobile computing device. The computer then dumps a view hierarchy for each of the one or more native stock applications. The computer generates, based, at least in part, on the view hierarchy, a template table for each of the one or more native stock applications.

Abstract: An application for testing is determined. A test script associated with the application for testing is determined. The application is tested using the test script. The testing requires transferring data form the application to an out-of-band channel.

Abstract: Systems, methods, and computer program products to perform an operation comprising receiving, via an interface, a first review specifying a first rating value, a second rating value, and a textual review for an application in an application store, associating the first review in the application store with the first rating value, invoking a semantics analysis engine to determine that the textual review specifies a first known performance issue for the application, determining, based on an update to the application and reviews for the application received subsequent to the update to the application, that the first known performance issue has been resolved, and associating the first review in the application store with the second rating value.

Abstract: A method for monitoring software application performance and one or more device states affecting a software application on a periodic basis on a mobile device. The method includes one or more computer processors identifying a software application on a mobile device. The method further includes the one or more computer processors identifying a plurality of sampling plans and one or more respective triggers within the plurality of sampling plans that are respectively associated with the software application and are stored on the mobile device. The method further includes the one or more computer processors determining a first value associated with the one or more respective triggers. The method further includes the one or more computer processors selecting a first sampling plan from the plurality of sampling plans for the software application based, at least in part, on the value associated with the one or more respective triggers.

Abstract: A method for monitoring software application performance and one or more device states affecting a software application on a periodic basis on a mobile device. The method includes one or more computer processors identifying a software application on a mobile device. The method further includes the one or more computer processors identifying a plurality of sampling plans and one or more respective triggers within the plurality of sampling plans that are respectively associated with the software application and are stored on the mobile device. The method further includes the one or more computer processors determining a first value associated with the one or more respective triggers. The method further includes the one or more computer processors selecting a first sampling plan from the plurality of sampling plans for the software application based, at least in part, on the value associated with the one or more respective triggers.

Abstract: A computer-implemented method includes identifying one or more sensor identifiers; identifying one or more activity conclusions; and identifying one or more activity derivation rules each associated with at least one of the one or more sensor identifiers and at least one of the one or more activity conclusions. The computer-implemented method further includes determining, for each of the one or more sensor identifiers, an overall predominance value based on at least one of the one or more activity derivation rules, wherein the predominance value is an estimation of the synergic significance of each of the one or more sensor identifiers to the one or more activity derivation rules. A corresponding computer program product and computer system are also disclosed.

Abstract: A mobile device can receive, from an application installed on a wearable device, an authentication query. Based upon the authentication query, an application installed on the mobile device can be determined to have been authenticated. In response to determining that the application installed on the mobile device has been authenticated, a temporary password can be generated at the mobile device and converted into a vibration pattern. The vibration pattern can be vibrated at the mobile device. The temporary password sent from the mobile device can be compared with user input received via a tap interface on the wearable device. In response to determining that the user input corresponds to the temporary password, the application installed on the wearable device can be authenticated based on authentication parameters of the corresponding application on the mobile device.

Abstract: A mobile device can receive, from an application installed on a wearable device, an authentication query. Based upon the authentication query, an application installed on the mobile device can be determined to have been authenticated. In response to determining that the application installed on the mobile device has been authenticated, a temporary password can be generated at the mobile device and converted into a vibration pattern. The vibration pattern can be vibrated at the mobile device. The temporary password can be transmitted from the mobile device to the wearable device for use in authenticating the application installed on the wearable device.

Abstract: In response to a posting of a negative review of an information technology item, external environmental context data is collected that comprehends processing environment attributes of an external process that interacts with the item in a reviewed performance of the item. An attribute of the item criticized in the review is correlated with an attribute of the external environmental context data as a function of contemporaneous time of occurrence. Degrees of likelihood as the principal cause of the negative review are determined for the attributes of the information technology item and for the correlated external environmental context data attribute. The negative review is determined to be a false negative review if the degree of likelihood that the correlated attribute of the external environmental context data is the principal cause is higher than the degree of likelihood that the criticized attribute of the information technology item is the principal cause.