Luca Gazzola

TL;DR: A new class of approaches, namely program repair techniques, whose key idea is to try to automatically repair software systems by producing an actual fix that can be validated by the testers before it is finally accepted, or that is adapted to properly fit the system.

TL;DR: An empirical study on the effects of using evolutionary algorithms to generate test suites, compared with generating test suites incrementally with random search suggests that, although evolutionary algorithms are more effective at covering complex branches, a random search may suffice to achieve high coverage of most object‐oriented classes.

TL;DR: The results of the analysis of the bug reports of five applications belonging to three different ecosystems are reported, a taxonomy of field failures is proposed, and the reasons why failures belonging to the identified classes cannot be detected at design time but shall be addressed at runtime are discussed.

TL;DR: In this article, the authors present a systematic survey of field testing approaches over a body of 80 collected studies, and propose their categorization based on the environment and the system on which field testing is performed.

TL;DR: In this paper, the authors investigate the nature of field failures, to understand to what extent further improving in-house verification and validation activities can reduce the number of failures in the field.