Accenture Global Services Gmbh

University of Illinois

Mark Grechanik

Qing Xie

Chen Fu

Kevin Michael Conroy

Edy S Liongosari

Kishore S Swaminathan

Matthew Hellige

Katharina Probst

Katharina Andrea Probst

A system and methods for automatically localizing faults for functional field failures that enables users to enter symptoms of a failure that occur during deployment of a given application along with the values of the input and configuration parameters in order to return locations in the source code that are likely to contain specific faults as well as show navigation paths from a suggested to the failure such that the code may be corrected. Successful and faulty runs of a software application are executed, and used to obtain ground facts and a knowledge base. A particular formula for the ground facts and knowledge base is discussed. A Markov Logic Network (MLN) is generated from the ground facts and knowledge base. Abductive reasoning based on the MLN is used to localize faults for the user-entered functional field failures.

Automatically predicting faults that caused software failures using a Markov logic network

A system, method, and computer-readable medium, is described that finds similarities among programming applications based on semantic anchors found within the source code of such applications. The semantic anchors may be API calls, such as Java's package and class calls of the JDK. Latent Semantic Indexing may be used to process the application and semantic anchor data and automatically develop a similarity matrix that contains numbers representing the similarity of one program to another.

Systems and methods for finding project-related information by clustering applications into related concept categories

A system includes a database that stores attributes of applications that are descriptive of source code included in the applications and identification data that identifies the applications to which the attributes apply. The attributes are mined through a programmatic analysis of one or more repositories in which the applications are stored, and the programmatic analysis includes programmatic analysis of the source code included in the applications to derive the attributes. The system also includes a computer system configured to handle queries against the attributes of the applications stored in the database and provide output based on the handling of queries against the attributes of the applications stored in the database.

Mining application repositories

At least one quasi-identifier attribute of a plurality of ranked attributes is selected for use in anonymizing a database. Each of the ranked attributes is ranked according to that attribute's effect on a database-centric application (DCA) being tested. In an embodiment, the selected quasi-identifier attribute(s) has the least effect on the DCA. The database is anonymized based on the selected quasi-identifier attribute(s) to provide a partially-anonymized database, which may then be provided to a testing entity for use in testing the DCA. In an embodiment, during execution of the DCA, instances of database queries are captured and analyzed to identify a plurality of attributes from the database and, for each such attribute identified, the effect of the attribute on the DCA is quantified. In this manner, databases can be selectively anonymized in order to balance the requirements of data privacy against the utility of the data for testing purposes.

Database anonymization

Systems and methods are provided for handling database deadlocks induced by database-centric applications (DCAs). SQL statements and transactions associated with the DCAs are analyzed and parsed to generate Petri net models. A supervisory modeler generates augmented Petri net models based on the Petri net models, which are used in generating supervisory control. The supervisory control is used in handling database deadlocks.

Systems and methods for handling database deadlocks induced by database-centric applications

A code evaluation tool greatly reduces time, cost, and other resource expenditures needed to validate that an application implements desired functionality. The tool is a search, navigation and visualization tool that accepts high-level processing concepts as inputs to identify, rank, and return the code of a recommended application. A software developer may use the tool to validate that functional requirements are met by the recommended application. The tool provides an efficient way to improve the evaluation of application logic to validate that the application meets specified functional requirement and implements the desired high-level processing concepts.

Recommended application evaluation system

A code search tool greatly reduces time, cost, and other resource expenditures associated with implementing a new application. The tool is a search, navigation and visualization tool that accepts high-level processing concepts as inputs to identify, rank, and return the code of relevant existing applications. A software developer may use the relevant applications to rapidly build prototypes, identify requirements, and develop new applications. The tool provides an efficient way to improve the reuse of application logic to realize the high-level processing concepts, and more efficiently deliver proof of concept.

Application search tool for rapid prototyping and development of new applications

A graphical user interface (GUI) tool analysis system helps determine whether to purchase or license automated testing tools. The system provides guidance, e.g., to test managers, for making decisions on expenditures for the automated test tools. As a result, the test managers need not make purchasing decisions ad hoc, based on their own personal experience and perceived benefits of implementing a tool based automatic testing approach versus a manual testing approach.

Assessment system for choosing maintenance approaches for GUI-directed test scripts

A graphical user interface (GUI) type model helps application designers create error free graphical user interface applications (GAPs). The GUI type model provides a reference set of GUI element types. The application designer assigns a selected GUI element type to each GUI element in a GAP design. The GUI element types help ensure consistent and proper treatment of the GUI element types at every stage in the development of the application, from initial planning and design, to compilation and execution.

Graphical user interface typing and mapping system

A non-transitory computer-readable medium tangibly embodied in a storage device encoded with instructions that, when executed on a processor, perform a method in a computer system for testing a rule-driven system, the method comprising detecting a potential read-write error or a potential write-write error in the rule-driven system, generating test results based on the detecting, and reporting the test results.

Testing for rule-based systems

A hierarchal structure manipulation system may include a nested table generation module to generate nested tables representing hierarchal relationships of computing systems in a distributed computing environment. A hierarchal structure manipulation module may access at least one nested table to manipulate a hierarchal structure represented by the nested table. The hierarchal structure manipulation module may use a generic algebraic specification to manipulate the hierarchal structure represented by the nested table. The generic algebraic specification may provide a generic abstraction across a plurality of the computing systems in the distributed computing environment.

Distributed computing system hierarchal structure manipulation

A method for determining a comprehensiveness of software requirements tests for testing a software application includes receiving data that defines artifacts of a software project. A first sub-link between at least one application requirement and at least one code module of the application code is identified. The first sub-link indicates a relationship between the application requirement and the code module. A second sub-link between at least one test case and the code module is identified. The second sub-link indicates a relationship between the test case and the module. A traceability link between the test case and the application requirement is determined based on the first sub-link and the second sub-link. The traceability link indicates that the test case tests the software application for compliance with the application requirement.

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Chicago, IL, United States of America

Mark Grechanik