I am a Ph.D. Student with the Software Engineering Research Group (SERG) at the Department of Computer Science, Lund University, Sweden. I am funded by the Industrial Excellence Centre for Embedded Applications Software Engineering (EASE), working within Theme D - Aligning Requirements and Verification (Project D.2 Large-scale Test to Requirements Linking).
My main research contributions concern using information retrieval techniques to semi-automatically create traces between software artifacts. Visit my TraceRepo, a repository of publications covering related research until 2011. In September 2012 I presented my (cumulative) licentiate thesis on the topic: Advancing Trace Recovery Evaluation – Applied Information Retrieval in a Software Engineering Context. One of the included papers has been credited by Dolado et al. in Software Quality Journal (link) as the first work using equivalence hypothesis testing in software engineering. More recently I have authored a book chapter on using recommendation systems for issue management.
I joined SERG in January 2010. Prior to that I worked three years at ABB in Malmö, working first as a thesis student and then as a development engineer. I was part of a team responsible for editor and compiler development in the 800xA automation system. My experiences include:
- IDE development for DSLs (IEC 61131-3)
- C/C++ and C# development
- Regression testing and test automation
- Safety-critical development (SIL 2)
- Safety certification (IEC 61508 and IEC 61511)
- Embedded systems
- Legacy code
I am currently on a study-leave from ABB, working full-time with my PhD studies.
My research interests are related to information overload involved in large-scale software development. I have published more than 15 papers on the topic. More specifically, my interests include:
- alignment of requirements and test
- mining software repositories
- trace capture/recovery
- software and traceability visualization
- information retrieval and findability
- recommendation systems
- machine learning
- issue management
My favorite tools of the trade are RapidMiner, R, yEd, Gephi, Lucene, and Weka.
I try to maintain Wikipedia pages related to my research, especially in Swedish. Start browsing from spårbarhetsåterhämtning if you are interested. I am a dedicated wiki incrementalist. Currently I try to improve the Swedish pages on recommendation systems.
I am always looking for students interested in master thesis projects related to my interests, take a look at the project proposals for inspiration.
- In print:
- Under revision:
- Journal paper on prediction of issue resolution time.
- Journal paper on automated assignment of issue reports.
- A conference paper on automated analysis of results from automated testing.
- A conference paper on using test cases as requirements.
- In submission:
- A position paper on machine learning for issue management.
- Ongoing, not published:
- Reporting a case study on tool support for impact analysis, based on a combination of IR-based trace recovery techniques and network analysis. First in situ study of impact analysis tool in proprietary context.
- Reporting a survey of impact analysis in safety-critical domains. 100+ answers from different domains.
- Developing guidelines for tuning software engineering tools using R.