International Business Machines Corporation

Andrew C Hicks

Ryan Thomas Rawlins

Dale E Blue

Michael Peter Lyons

Miles C Pedrone

Tynan J Garrett

Brendan Bull

Scott Robert Carrier

Dwi Sianto Mansjur

Paul Lewis Felt

Yunli Tang

Steven M Partlow

Rachel Brill

Alex M Hytha

Eitan D Farchi

Deborah A Furman

Daniel Nicolas Gisolfi

Kevin Minerley

An additive manufacturing device is provided and includes a printing material source, a printing head and a temperature control system. The printing material source is configured to contain a supply of printing material. The printing head is receptive of the printing material from the printing material source and is configured to print an object with the printing material. The temperature control system is coupled to the printing head and is configured to adjust a temperature of the printing material during printing to cause state changes of the printing material resulting in the printing material being one of soluble and insoluble in a solvent.

Heated three-dimensional printer head for variable material deposition

The exemplary embodiments disclose a system and method, a computer program product, and a computer system for resolving the intents of user expression. The exemplary embodiments may include receiving a user expression, receiving a first resolver having an input class and an output class based on the user expression, determining whether the first resolver can be resolved based on the user expression, and based on determining that the first resolver can be resolved based on the user expression, resolving the first resolver.

Resolving user expression having dependent intents

In a frictionless handoff of audio content playing, a client device listens for ultrasonic audio. The client hears a playing of a modified audio content by another client device, which includes audio content and an ultrasonic audio quick response (QR) code overlaid on the audio content. The ultrasonic audio QR code includes location information corresponding to a location in the audio content. The client device extracts the ultrasonic audio QR code from the modified audio content. After determining that the playing of the modified audio content has stopped, the client device receives a command to resume playing of the audio content on the client device. In, response to the command, the client device retrieves location information in a last extracted ultrasonic audio QR code and plays the audio content starting at a location in the audio content corresponding to the location information in the last extracted ultrasonic audio QR code.

Frictionless handoff of audio content playing using overlaid ultrasonic codes

A method for identifying optimal tests includes defining functional coverage by a test suite based on a functional coverage model of a System Under Test (SUT). The test suite includes a plurality of tests. The functional coverage model includes a plurality of attributes, each attribute having a set of possible values. The functional coverage model defines possible combinations of values of the attributes as covered by the test suite. A subset of the possible combinations of values is determined. A subset of the plurality of tests is selected that is operative to cover the determined subset of the possible combinations of values. A plurality of trees is generated to represent the selected subset of tests. Complexity of the generated trees is analyzed based on user-specified criteria. An optimal tree is selected from the subset of the plurality of trees to achieve the objective of the test suite.

Customizable test set selection using code flow trees

Embodiments generally relate to the generation of a domain-specific phrasal dictionary. In some embodiments, a method includes receiving text from a user, wherein the text includes unstructured text of a natural language. The method further includes parsing the text into text chunks. The method further includes sending the text chunks to the user. The method further includes receiving one or more phrase categories and one or more predetermined phrases from the user, wherein each predetermined phrase of the one or more predetermined phrases corresponds to at least one phrase category of the one or more phrase categories. The method further includes comparing the predetermined phrases with the text chunks. The method further includes assigning at least one phrase category of the one or more phrase categories to at least one text chunk. The method further includes sending at least one text chunk and the at least one phrase category that is assigned to the at least one text chunk to the user.

Generating a domain-specific phrasal dictionary

Systems, methods, and computer-readable media for identifying a champion test case that provides an increased likelihood of exposing a fault and expanding a set of test cases to include the champion test case are described. The fault may occur in a System Under Test (SUT), which may be a hardware system or a software system. A weight may be assigned to a champion test case that indicates the relative strength of the test case in detecting faults. The weight may be used to influence the selection of other test cases.

Champion test case generation

A computer-implemented method, system and computer program product for automatically bootstrapping a domain-specific vocabulary from at least one source document using one or more computers, by: (a) encoding one or more passages in the source document to identify one or more relevant words therein, wherein the encoding assigns an importance to the relevant words using an attention mechanism (AM) on top of a recurrent neural network (RNN); (b) expanding the relevant words using word embedding distance, ontology information, or multi-part analogies; and (c) mapping the expanded words to concepts for inclusion into the domain-specific vocabulary, wherein concept disambiguation is performed to ensure that incorrect concepts are not included into the domain-specific vocabulary.

Automatically bootstrapping a domain-specific vocabulary

Systems, methods, and computer-readable media are described for utilizing breakpoint value-based fingerprints of failing regression test cases to determine specific components of a System Under Test (SUT) that are causing a fault such as specific lines of source code. A failing test case from a regression run is selected and fault localization and inverse combinatorics techniques are employed to generate a set of failing test cases around the selected failing test case. A set of test fingerprints corresponding to the set of failing test cases is compared to a set of test fingerprints corresponding to a set of passing test cases to determine breakpoints that are indicated as being encountered during execution of at least one failing test case and that are not encountered during execution of any of the passing test cases. Specific lines of source code that correspond to these breakpoints are then identified as causing the fault.

Fault detection using breakpoint value-based fingerprints of failing regression test cases

A computer system generates a vector space model based on an ontology of concepts. One or more training examples are extracted for one or more concepts of a hierarchical ontology, wherein the one or more training examples for the one or more concepts are based on neighboring concepts in the hierarchical ontology. A plurality of vectors, each including one or more features, are initialized, wherein each vector corresponds to a concept of the one or more concepts. A vector space model is generated by iteratively modifying one or more vectors of the plurality of vectors to optimize a loss function. Natural language processing is performed using the vector space model. Embodiments of the present invention further include a method and program product for generating a vector space model in substantially the same manner described above.

Natural language processing using an ontology-based concept embedding model

Techniques for document analysis using machine learning are provided. A selection of an index is received document, and a plurality of documents that refer to the index document is identified. For each respective document in the plurality of documents, a respective portion of the respective document is extracted, where the respective portion refers to the index document, and a respective vector representation is generated for the respective portion. A plurality of groupings is generated for the plurality of documents based on how each of the plurality of documents relate to the index document, by processing the vector representations using a trained classifier. Finally, at least an indication of the plurality of groupings is provided, along with the index document.

Use of machine learning to characterize reference relationship applied over a citation graph

Systems, methods, and computer-readable media are described for expanding test space coverage for testing performed on a System Under Test (SUT) through iterative test case generation from combinatoric pairwise outputs. At each test case generation iteration, a new set of test vectors is generated that provides complete pairwise coverage of the test space but that does not include any overlapping test vector with any previously generated set of test vectors. As such, cumulative m-wise test space coverage (where 2&#x3c;m&#x2264;n) is incrementally increased through each iteration until the iterative process ceases when a desired percentage of m-wise test space coverage is achieved.

Combinatoric set completion through unique test case generation

A method includes defining functional coverage by a first test suite based on a first functional coverage model of a System Under Test (SUT). The first test suite includes a first plurality of tests. The first functional coverage model includes a first plurality of attributes. The first functional coverage model defines possible combinations of values of the first plurality of attributes. Functional coverage by a second test suite is defined based on a second functional coverage model which includes a second plurality of attributes. The second functional coverage model defines possible combinations of values of the second plurality of attributes. Subsets of the first and second plurality of attributes are determined. The subsets of attributes include exclusively common attributes between the first and the second plurality of attributes. A subset of the tests is selected. The selected subset is operative to cover the first and second subsets of the attributes.

Test space analysis across multiple combinatoric models

Light obstruction can be detected using a light obstruction sensor. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes receiving, by a light obstruction sensor, light being emitted by a light source, a light level being associated with the light, and the light source and the light obstruction sensor being disposed in a light assembly. The method further includes determining, by a processing device, whether the light level exceeds a first threshold. The method further includes, responsive to determining that the light level exceeds the first threshold, determining that the light being emitted by the light source is at least partially impaired by an object. The method further includes validating, by the processing device, the determination that the light source is at least partially impaired by the object to confirm whether the light source is at least partially impaired by the object.

Light obstruction sensor

A method for generating and presenting a comment excerpt in an online publication based on a comment in a comments section is provided. The method may include determining whether a passage from the comment in the comments section is relevant to a sentence in the online publication, and in response to determining that the passage from the comment is relevant to the sentence in the online publication, extracting the passage from the comment. The method may further include determining the scope of the comment that is associated with the extracted passage, wherein determining the scope of the comment comprises determining a context associated with the extracted passage based on text surrounding the extracted passage. The method may further include, based on the determined scope of the comment, generating the comment excerpt that corresponds to the comment. The method may further include presenting the comment excerpt within the online publication.

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Poughkeepsie, NY, United States of America

Andrew C Hicks