Despite their growing complexity and increasing size, modern software applications must satisfy strict release requirements that impose short bug fixing and maintenance cycles, putting significant pressure on developers who are responsible for timely producing high-quality software. To reduce developers workload, repairing and healing techniques have been extensively investigated as solutions for efficiently repairing and maintaining software in the last few years. In particular, repairing solutions have been able to automatically produce useful fixes for several classes of bugs that might be present in software programs. A range of algorithms, techniques, and heuristics have been integrated, experimented, and studied, producing a heterogeneous and articulated research framework where automatic repair techniques are proliferating. This paper organizes the knowledge in the area by surveying a body of 108 papers about automatic software repair techniques, illustrating the algorithms and the approaches, comparing them on representative examples, and discussing the open challenges and the empirical evidence reported so far.
Gazzola, L., Micucci, D., & Mariani, L. (2019). Automatic Software Repair: A Survey. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(1), 34-67 [10.1109/TSE.2017.2755013].
|Citazione:||Gazzola, L., Micucci, D., & Mariani, L. (2019). Automatic Software Repair: A Survey. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(1), 34-67 [10.1109/TSE.2017.2755013].|
|Tipo:||Articolo in rivista - Articolo scientifico|
|Carattere della pubblicazione:||Scientifica|
|Presenza di un coautore afferente ad Istituzioni straniere:||No|
|Titolo:||Automatic Software Repair: A Survey|
|Autori:||Gazzola, L; Micucci, D; Mariani, L|
MARIANI, LEONARDO (Corresponding)
|Data di pubblicazione:||2019|
|Rivista:||IEEE TRANSACTIONS ON SOFTWARE ENGINEERING|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/TSE.2017.2755013|
|Appare nelle tipologie:||01 - Articolo su rivista|