activity
20132023
most citedMachine Learning for Software Engineering: A Systematic Mapping

71 citations · 169 across the 19 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.SE2020★ 3 cited

Semantic Clone Detection via Probabilistic Software Modeling

Hannes Thaller, Lukas Linsbauer, Alexander Egyed

Semantic clone detection is the process of finding program elements with similar or equal runtime behavior. For example, detecting the semantic equality between the recursive and i…

cs.SE2020★ 71 cited

Machine Learning for Software Engineering: A Systematic Mapping

Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn +1

Context: The software development industry is rapidly adopting machine learning for transitioning modern day software systems towards highly intelligent and self-learning systems.…

cs.SE2020★ 5 cited

Model-driven Engineering of Safety and Security Systems: A Systematic Mapping Study

Atif Mashkoor, Alexander Egyed, Robert Wille

This paper presents a systematic mapping study on the model-driven engineering of safety and security concerns in systems. Integrated modeling and development of both safety and se…

cs.SE2020

Towards Semantic Clone Detection via Probabilistic Software Modeling

Hannes Thaller, Lukas Linsbauer, Alexander Egyed

Semantic clones are program components with similar behavior, but different textual representation. Semantic similarity is hard to detect, and semantic clone detection is still an…

cs.SE2020

Towards Fault Localization via Probabilistic Software Modeling

Hannes Thaller, Lukas Linsbauer, Alexander Egyed +1

Software testing helps developers to identify bugs. However, awareness of bugs is only the first step. Finding and correcting the faulty program components is equally hard and esse…