- author = "Keigo Naitou and Akito Tanikado and Shinsuke Matsumoto and Yoshiki Higo and Shinji Kusumoto and Hiroyuki Kirinuki and Toshiyuki Kurabayashi and Haruto Tanno",
- title = "Toward Introducing Automated Program Repair Techniques to Industrial Software Development",
- booktitle = "40th International Conference on Software Engineering",
- year = "2018",
- editor = "Marsha Chechik and Mark Harman",
- pages = "332--335",
- address = "Gothenburg, Sweden",
- month = "27 " # may # "-3 " # jun,
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, genetic improvement, APR, SBSE, Automated program repair, Industrial application",
- isbn13 = "978-1-4503-5638",
-
URL = "
http://sdl.ist.osaka-u.ac.jp/pman/pman3.cgi?DOWNLOAD=422",
-
DOI = "
10.1145/3196321.3196358",
- size = "4 pages",
- abstract = "Automated program repair (in short, APR) has been attracting much attention. A variety of APR techniques have been proposed, and they have been evaluated with actual bugs in open source software. Currently, the authors are trying to introduce APR techniques to industrial software development (in short, ISD) to reduce development cost drastically. However, at this moment, there are no studies that report evaluations of APR techniques on ISD. In this paper, we report our ongoing application of APR techniques to ISD and discuss some barriers that we found on the application.",
-
notes = "ASTOR, NOPOL
Osaka University, Nippon Telegraph and Telephone Corporation",
