- author = "Marouane Kessentini and Wael Kessentini and Houari Sahraoui and Mounir Boukadoum and Ali Ouni",
- title = "Design Defects Detection and Correction by Example",
- booktitle = "19th IEEE International Conference on Program Comprehension (ICPC 2011)",
- year = "2011",
- month = "22-24 " # jun,
- pages = "81--90",
- address = "Kingston, Canada",
- size = "10 pages",
- abstract = "Detecting and fixing defects make programs easier to understand by developers. We propose an automated approach for the detection and correction of various types of design defects in source code. Our approach allows to automatically find detection rules, thus relieving the designer from doing so manually. Rules are defined as combinations of metrics/thresholds that better conform to known instances of design defects (defect examples). The correction solutions, a combination of refactoring operations, should minimise, as much as possible, the number of defects detected using the detection rules. In our setting, we use genetic programming for rule extraction. For the correction step, we use genetic algorithm. We evaluate our approach by finding and fixing potential defects in four open-source systems. For all these systems, we found, in average, more than 80percent of known defects, a better result when compared to a state-of-the-art approach, where the detection rules are manually or semi-automatically specified. The proposed corrections fix, in average, more than 78percent of detected defects.",
- keywords = "genetic algorithms, genetic programming, genetic improvement, APR, SBSE, design defects detection, open-source systems, rule extraction, source code, data flow analysis, public domain software, software maintenance",
-
DOI = "
doi:10.1109/ICPC.2011.22",
- ISSN = "1092-8138",
-
notes = "Not bugfixes.
Repairs to Blob, spaghetti code, functional decomposition. Says uses SUS
p89 'our GP algorithm does not need both positive (good code) and negative (bad code) examples to generate rules...' Also known as \cite{5970166}",
