- author = "Anil Koyuncu",
- title = "Boosting Automated Program Repair for Adoption By Practitioners",
- school = "Interdisciplinary Centre for Security, Reliability and Trust (SNT), University of Luxembourg",
- year = "2020",
- address = "Luxembourg",
- month = "7 " # dec,
- keywords = "genetic algorithms, genetic programming, genetic improvement, APR, program repair, FlexiRepair",
-
URL = "
http://hdl.handle.net/10993/45073",
-
URL = "
https://orbilu.uni.lu/bitstream/10993/45073/1/thesis.pdf",
- size = "171 pages",
-
abstract = "Automated program repair (APR) attracts a huge
interest from research and industry as the ultimate
target in automation of software maintenance. Towards
realising this automation promise, the research
community has explored various ideas and techniques,
which are increasingly demonstrating that APR is no
longer fictional. Although literature techniques
constantly set new records in fixing a significant
fraction of defects within well-established benchmarks,
we are not aware of large-scale adoption of APR in
practice. Meanwhile, open-source and commercial
organizations have started to reflect on the potential
of integrating some automated steps in the software
development cycle. Actually, the current practice has
several development settings that use a number of tools
to automate and systematize various tasks such as code
style checking, bug detection, and systematic
patching.
Our work is motivated by this fact. We advocate that systematic and empirical exploration of the current practice that leverage tools to automate debugging tasks would provide valuable insights for rethinking and boosting the APR agenda towards its acceptability by developer communities. We have identified three investigation axes in this dissertation. First, mining software repositories towards understanding code change properties that could be valuable to guide program repair. Second, analysing communication channels in software development in order to assess to what extent they could be relevant in a real-world program repair scenario. Third, exploring generic concepts of patching in the literature for establishing a common foundation for program repair pipelines that can be integrated with industrial settings.
This dissertation makes the following contributions to the community:
* An empirical study of tool support in a real development setting providing concrete insights on the acceptance, stability and the nature of bugs being fixed by manually-craft patches vs tool-supported patches and manifests opportunities for improving automated repair techniques.
* A novel information retrieval based bug localization approach that learns how to compute the similarity scores of various types of features.
* An automated mining strategy to infer fix pattern that can be integrated to automated program repair pipelines.
* A practical bug report driven program repair pipeline.",
-
notes = "is this GP?
Language : English
Supervisor : Yves Le Traon
President of the jury : Klein, Jacques Member of the jury : Bissyande, Tegawende Francois D Assise Barr, Earl Pradel, Michael",
