Markus Borg

Software Engineering Researcher

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Tag: recommendation systems

Recommendation systems “provide suggestions for items that are of potential interest for a user” (Felfernig et al., 2014). The two main techniques to match users and items are content-based filtering and collaborative filtering. Content-based filtering finds patterns in the content of items that have been rated by a user, to find new items that are likely to match his interests. Collaborative filtering identifies users that display similar preference patterns. Many recommendation systems also combine the two techniques in hybrid systems. Robillard et al. (2010) have proposed a dedicated definition of Recommendation Systems for Software Engineering (RSSE): “a software application that provides information items estimated to be valuable for a software engineering task in a given context”. RSSE research was a fundamental part of my PhD thesis and the tool ImpRec, an RSSE for change impact analysis.

January 19, 2019April 27, 2019mrksbrg

Feedback from Operations to Software Development – A DevOps Perspective on Runtime Metrics and Logs

October 24, 2016July 12, 2018mrksbrg

Supporting Change Impact Analysis Using a Recommendation System: An Industrial Case Study in a Safety-Critical Context

May 3, 2016July 12, 2018mrksbrg

TuneR: A Framework for Tuning Software Engineering Tools with Hands-on Instructions in R

April 13, 2015July 12, 2018mrksbrg

Navigating Information Overload Caused by Automated Testing – A Clustering Approach in Multi-Branch Development

March 30, 2015April 3, 2016mrksbrg

The More the Merrier: Leveraging on the Bug Inflow to Guide Software Maintenance

January 1, 2014July 12, 2018mrksbrg

Changes, Evolution and Bugs – Recommendation Systems for Issue Management

Recent Publications

  • Requirements on Technical Debt: Dare to Specify Them! February 20, 2023
  • Pipeline Infrastructure Required to Meet the Requirements on AI December 27, 2022
  • Can RE Help to Better Prepare Industrial AI for the Commercial Scale? October 30, 2022
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