Content deleted Content added
m Open access bot: arxiv added to citation with #oabot. |
Citation bot (talk | contribs) Alter: title, template type. Add: isbn, chapter-url, chapter. Removed or converted URL. Removed parameters. Some additions/deletions were parameter name changes. | Use this bot. Report bugs. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox3 | #UCB_webform_linked 145/1947 |
||
Line 64:
One way to avoid overfitting is to filter out the generated patches. This can be done based on dynamic analysis.<ref>{{Cite book|last1=Xin|first1=Qi|last2=Reiss|first2=Steven P.|title=Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis |chapter=Identifying test-suite-overfitted patches through test case generation |date=2017-07-10|chapter-url=http://dx.doi.org/10.1145/3092703.3092718|pages=226–236|___location=New York, NY, USA|publisher=ACM|doi=10.1145/3092703.3092718|isbn=978-1-4503-5076-1|s2cid=20562134}}</ref>
Alternatively, Tian et al. propose heuristic approaches to assess patch correctness. <ref>{{cite news |last1=Tian |first1=Haoye |last2=Liu |first2=Kui |last3=Kaboré |first3=Abdoul Kader |last4=Koyuncu |first4=Anil |last5=Li |first5=Li |last6=Klein |first6=Jacques |last7=Bissyandé |first7=Tegawendé F. |title=Evaluating representation learning of code changes for predicting patch correctness in program repair |url=https://dl.acm.org/doi/abs/10.1145/3324884.3416532 |work=Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering |publisher=Association for Computing Machinery |date=27 January 2021 |pages=981–992 |doi=10.1145/3324884.3416532|isbn=9781450367684 }}</ref><ref>{{cite
== Limitations of automatic bug-fixing ==
|