Home > Seminars > Jane Cleland-Huang: Towards Actionable and Accessible Software Analytics

Jane Cleland-Huang: Towards Actionable and Accessible Software Analytics


1/21/2016 at 3:30PM


1/21/2016 at 5:00PM


356 Fitzpatrick


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Kevin Bowyer

Kevin Bowyer

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Biometrics, data mining, computer vision, pattern recognition, applications to medical imaging, ethics and computing, computer science education.
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Modern Software and Systems engineering projects produce large quantities of data as a natural byproduct of the engineering process.  Artifacts include hazard analyses, requirements, design documents, source code, commit logs, project plans, and much more. When combined with the power of software analytics, this data can deliver actionable intelligence into the hands of project stakeholders. For example, a developer working on a railway signaling system might ask “which sections of the code mitigate high-risk communication hazards and are potentially error-prone?” or might request a recommendation for a “domain expert who can explain train stopping distances”.  Current work in software analytics provides technical capabilities to answer such queries; however, the diverse data formats, heterogeneous case tools, the challenges users face in composing complex queries, and the distributed geographical locations of a typical software project create a non-trivial uptake barrier.  In this talk, Dr. Cleland-Huang will present two solutions for addressing these challenges.  The first is a domain-specific natural language interface named TiQi, which is designed to transform analytic questions posed by project stakeholders into structured, executable queries.  The second is a framework for interpreting and dynamically composing previously unseen, analytics-enhanced queries at runtime.  Dr. Cleland-Huang will discuss challenges, advances, and open-issues related to each of these solutions and will provide illustrative examples from industrial and student-based systems engineering projects.

Seminar Speaker:

Jane Cleland-Huang

Jane Cleland-Huang

DePaul University

Dr. Jane Cleland-Huang is Professor of Software Engineering in the School of Computing at DePaul University, Chicago, where she serves as the director of the Systems and Requirements Engineering Center.  She also serves as the North American Director of the International Center of Excellence for Software Traceability.  Her research interests emphasize the application of machine learning and information retrieval methods to tackle large-scale Software Requirements problems.  Dr. Cleland-Huang serves as Associate Editor-in-Chief for IEEE Transactions on Software Engineering and on the Editorial Boards of IEEE Software and the Requirements Engineering Journal.  She has been the recipient of the US National Science Foundation Faculty Early Career Development Award, four ACM SIGSOFT Distinguished Paper Awards and the 2006 IFIP TC2 Manfred Paul Award for Excellence in Software: Theory and Practice.  She is a member of the IEEE Computer Society and the IEEE Women in Engineering. She received her PhD in Computer Science from the University of Illinois at Chicago.  Additional information can be found at re.cs.depaul.edu.