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Lund University
 

Markus Borg

I am a Ph.D. Student in 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.

You can find me on Academia.edu and ResearchGate. Also, I publish most draft versions on Scribd. A popular summary of my research is available here.

Non-research wise, I am an enthusiastic promoter of Racketlon, and president of Malmö Racketlon.

Background

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:

  • Working on a development environment for automation languages (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.

Research Interests

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
  • trace capture/recovery
  • software and traceability visualization
  • mining software repositories
  • recommendation systems
  • information retrieval
  • machine learning
  • data science
  • findability
  • issue management
  • information 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.

I am always looking for students interested in master thesis projects related to my interests, take a look at the project proposals for inspiration.

Ongoing Research

  • In print:

Development of Safety-Critical Software Systems Using Open Source Software - A Systematic Map, Sulaman, Orucevic-Alagic, Borg, Wnuk, Höst, and de la Vara, To Appear in Proc. of the 2014 Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Verona, Italy.

A replicated study on duplicate detection: Using Apache Lucene to search among Android defects, Johansson, Borg, Runeson, and Mäntylä. To Appear In Proc. of the International Symposium on Empirical Software Engineering and Measurement, Torino, Italy.

Revisiting the Challenges in Aligning RE and V&V: Experiences from the Public Sector, Larsson, and Borg. To Appear in the Proc. of the 1st International Workshop on Requirements and Testing, Karlskrona, Sweden.

Embrace Your Issues: Compassing the Software Engineering Landscape Using Bug Reports, To Appear at the Doctoral Symposium at the 29th International Conference on Automated Software Engineering, Västerås, Sweden.

  • In revision:

-

  • In submission:

- Journal paper on automated assignment of issue reports.

  • Ongoing, not published:

- Running a pilot evaluation of a tool (as a longitudinal study in an industrial context) supporting impact analyses using a combination of IR-based trace recovery techniques and network analysis. Recall@5 ~= 33%, recall@10 ~= 40%, and positive qualitative feedback.

- Analyzing answers from a survey of impact analysis in safety-critical domains. 100+ answers from different domains.

- Wrapping up a study on prediction of defect resolution times based on textual descriptions in bug reports. Replication of previous of work on KNN clustering using much larger datasets from OSS and a private company. The results are not very good, appears to be little predictive value in the approach.

- Developing guidelines for tuning software engineering tools using R.

Page Manager: Markus Borg
Webmaster: webmaster@lth.se
Last updated: 2014-07-14

Contact Information

Photo

E-mail: Markus.Borg@cs.lth.se

Google Scholar: Markus Borg

Phone: +46 46 222 96 43

Visiting address: Ole Römers väg 3, Lund

Postal address: Box 118, SE-221 00 Lund, Sweden

Room: E:2418

(Hämtställe: 7)

(click to get a bigger picture)







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