M. D. Penta

We propose a novel solution called LDA-GA, which uses Genetic Algorithms (GA) to determine a near-optimal configuration for LDA in the context of three different SE tasks: (1) traceability link recovery, (2) feature location, and (3) software artifact labeling. Expand

This paper investigates whether the text of the issues posted in bug tracking systems is enough to classify them into corrective maintenance and other kinds of activities. Expand

This paper proposes a QoS-aware dynamic binding of composite services based on Genetic Algorithms. Expand

This paper combines clone detection and co-change analysis to investigate how clones are maintained when an evolution activity or a bug fixing impact a source code fragment belonging to a clone class. Expand

Run-time service discovery and late-binding constitute some of the most challenging issues of service-oriented software engineering. Expand

We search for the optimal set of services that, composed to create a new service, result in the best QoS, under user or service designer constraints. Expand

We mined the evolution history of three Java open source projects to investigate whether refactoring activities occur on code components for which certain indicators—such as quality metrics or the presence of smells as detected by tools—suggest there might be need for refacting operations. Expand

This paper proposes an automatic approach to classify the evolution of source code clone fragments, and reports a fine-grained analysis of clone evolution in four different Java and C software systems, aimed at investigating to what extent clones are consistently propagated or they evolve independently. Expand

We detect 29 code smells in 9 releases of Azureus and in 13 releases of Eclipse, and study the relation between classes with these code smells and class change-proneness. Expand