International Business Machines Corporation

Joseph W Ligman

Marco Pistoia

Gegi Thomas

John J Ponzo

Venkat K Balagurusamy

Omer Tripp

Stephen Peter Wood

Donna N Eng Dillenberger

Umut Topkara

Chun-Fu Chen

Matthew Harrison Tong

Paolo Girolami

Sahil Dureja

Donna N Dillenberger

David M Lubensky

Gregory Louis Truty

Paul Christesten Castro

Prabhakar Nandavar Kudva

Gong Su

Shaohan Hu

Stephen John Heisig

Vince Siu

Rajesh Balasubramanian

Ashwin Dhinesh Kumar

Kyungmin Lee

A method and method for testing an application includes performing a static analysis of metadata of coding of an application, using a test application program executed by a processor on a computer. Available user interface states are simulated based on the static analysis. A configuration file of the application is accessed and parsed to enumerate states possible for the application. A coverage metric is calculated for the application based on a number of states reached by the simulating and a number of states possible.

Building coverage metrics and testing strategies for mobile testing via view enumeration

A method, a computer program product, and a computer system for classifying bacteria. The method comprises extracting a morphology signature corresponding to one or more bacteria and extracting a motility signature corresponding to the one or more bacteria. The method further comprises merging the morphology signature and the motility signature into a merged vector signature and classifying the one or more bacteria based on the merged vector signature.

Bacteria classification

A method for tracking user interactions with an application includes: storing the application in a memory of a mobile device, the application being associated with an instrumented widget and a library, the widget including an event logger; executing the application and the widget; receiving, through a user interface of the mobile device, an input corresponding to the event logger of the widget; logging, by the library, the input corresponding to the event logger of the widget in the memory of the mobile device; filtering a plurality of events, including the input corresponding to the event logger of the widget, to manage what data is reported to a monitor; and transmitting the input corresponding to the event logger of the widget to a server as monitored data.

Widget provisioning of user experience analytics and user interface / application management

A method of operating a mobile device includes displaying a user interface as an image, the user interface being composed of a plurality of widgets, storing a privacy policy identifying at least one of the widgets, capturing a screenshot image corresponding to the screenshot image, excluding the at least one of the widgets from the screenshot image to create a modified screenshot image, and transmitting the modified screenshot image over a network to a monitoring server.

Privacy-preserving user-experience monitoring

Embodiments of the present invention disclose a method, computer program product, and system for mapping one or more inclusions in a mineral crystal. A set of image data associated with the mineral crystal is receiving. The received set of image data is analyzed. One or more inclusions associated with the mineral crystal is identified based on the analyzed image data. The identified one or more inclusions of the mineral crystal are mapped to a tree structure representing the surface of the mineral crystal. The mapped one or more inclusions are encoded as a chain-code associated with the mineral crystal. A radial distance between a center of mass value of the mineral crystal and a center of mass value of the identified one or more inclusions is calculated and a mineral crystal fingerprint is generated.

Mapping and encoding gemological features

An example operation may include one or more of scanning, by a mobile node, a physical object to generate a scan data, extracting, by the mobile node, a set of features from the scan data, generating, by the mobile node, a feature vector based on the set of the features, applying, by the mobile node, a cryptographic hash function to the feature vector to produce a hash value, encrypting, by the mobile node, the set of the features with the hash value, and executing a smart contract to store the encrypted set of the features on a blockchain.

Fingerprinting of physical objects

A first series of images of a first fluid is received. A first set of fluid characteristics of the first fluid is determined from the first series of images. A second series of images of a second fluid is received. A second set of fluid characteristics of the second fluid is determined from the second series of images. A match is determined to be found between the first set of fluid characteristics and the second set of fluid characteristics. The second fluid is identified based upon determining that the first set of fluid characteristics matches the second set of fluid characteristics.

Distinguishing fluids based upon determination and analysis of digital image color space characteristics

Facilitating code re-use includes receiving a first design document. The first user design document specifies a graphical layout of a first set of user interface elements of a user interface of a first application. First source code associated with the design document is received. The first source code is configured to implement the first set of user interface elements of the user interface. A processor extracts the first set of user interface elements from the first user interface design document. A first portion of the first source code corresponding to a first user interface element of the first set of user interface elements is identified. The first portion of the first source code is encapsulated into a module to enable re-use of the portion of the source code in a second application.

User interface code re-use based upon machine learning of design documents

A gemstone detection method is provided and includes using a camera to generate a set of training pictures illustrating three-dimensional features of a gemstone cut with a pattern. Each training picture in the set of training pictures includes facets of and inclusions within the gemstone visible along a point-of-view (POV) through the gemstone. The gemstone detection method further includes generating a trained neural network by training an untrained neural network using the set of training pictures and a set of training sketches of edges of the facets of the gemstone generated from the set of training pictures and using the trained neural network to iteratively generate machine-generated drawings from the set of training pictures. Each of the machine-generated drawings identifies edges of the facets of the gemstone. In addition, the gemstone detection method includes combining the set of machine-generated drawings into a three-dimensional model.

Detection of clarity markings in gemstones

In an embodiment, a method of estimating the cost of a software project comprising receiving natural language software descriptions and electronic source code files for respective completed software projects; storing, in a computer memory, an input set of functional labels and size data extracted from each of the source code files, the functional labels corresponding to labels in a software development library; training a natural language processing model to output a project set of functional labels for one of the source code files; training a regression analysis model to output a project size for the one of the source code files; predicting, using the natural language understanding model, a proposal set of functional labels; predicting, using the regression analysis model, a proposal size; and using the proposal size to calculate a proposal cost; and preparing a software development proposal that includes a natural language proposed-software description and the proposal cost.

Cognitive software development

A presentation document specifying a graphical layout of a user interface is received. A processor extracts a first user interface graphical feature from the presentation document. The extracted first user interface graphical feature is matched to one or more first candidate user interface graphical features to determine a first selected candidate user interface graphical feature. A user interface code representation of the user interface is synthesized based upon the first selected candidate user interface graphical feature.

User interface synthesis based upon extracted presentation document graphical features

A method includes storing an application in a memory of a mobile device, wherein the application is associated with a widget including an event logger and a library managing the widget, executing, by the mobile device, the application and the widget, receiving, through a user interface of the mobile device, an input corresponding to the event logger of the widget, logging, by the library, the input corresponding to the event logger of the widget in the memory of the mobile device, and reporting, by the library, the input corresponding to the event logger of the widget to a remote monitoring server as monitored data.

A tool for verifying a user interface (UI) design of a mobile application receives a screenshot of the application's UI operating at a target device and retrieves a reference UI design image that corresponds to the received screenshot. The tool generates a plurality of images based on discrepancies between the screenshot and the reference UI design image. The plurality of images include a set of differential images in which each pixel location has a value that is based on a difference between corresponding pixels at the same pixel location of the reference UI design image and of the screenshot. The plurality of imagers also include at least one blended image that is an overlay of the reference UI design image with the screenshot.

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Wilton, CT, United States of America

Joseph W Ligman