activity
20182020
most citedFeature Maps: A Comprehensible Software Representation for Design Pattern Detection

23 citations · 27 across the 2 of their papers we have counts for

collaborators

5 papers

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…

cs.SE20194 cited

Probabilistic Software Modeling: A Data-driven Paradigm for Software Analysis

Hannes Thaller, Lukas Linsbauer, Rudolf Ramler +1

Software systems are complex, and behavioral comprehension with the increasing amount of AI components challenges traditional testing and maintenance strategies.The lack of tools a…

cs.SE201923 cited

Feature Maps: A Comprehensible Software Representation for Design Pattern Detection

Hannes Thaller, Lukas Linsbauer, Alexander Egyed

Design patterns are elegant and well-tested solutions to recurrent software development problems. They are the result of software developers dealing with problems that frequently o…

cs.SE2018

Probabilistic Software Modeling

Hannes Thaller

Software Engineering and the implementation of software has become a challenging task as many tools, frameworks and languages must be orchestrated into one functioning piece. This…