eprintid: 1456659 rev_number: 35 eprint_status: archive userid: 608 dir: disk0/01/45/66/59 datestamp: 2014-11-24 19:50:26 lastmod: 2021-12-20 00:35:51 status_changed: 2017-05-16 11:26:04 type: proceedings_section metadata_visibility: show item_issues_count: 0 creators_name: Harman, M creators_name: Jia, Y creators_name: Mateo, PR creators_name: Polo, M title: Angels and monsters: An empirical investigation of potential test effectiveness and efficiency improvement from strongly subsuming higher order mutation ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F48 note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: We study the simultaneous test effectiveness and efficiency improvement achievable by Strongly Subsuming Higher Order Mutants (SSHOMs), constructed from 15,792 first order mutants in four Java programs. Using SSHOMs in place of the first order mutants they subsume yielded a 35%-45% reduction in the number of mutants required, while simultaneously improving test efficiency by 15% and effectiveness by between 5.6% and 12%. Trivial first order faults often combine to form exceptionally non-trivial higher order faults; apparently innocuous angels can combine to breed monsters. Nevertheless, these same monsters can be recruited to improve automated test effectiveness and efficiency. date: 2014-09-15 publisher: ACM official_url: http://dx.doi.org/10.1145/2642937.2643008 vfaculties: VENG oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_source: Scopus elements_id: 994295 doi: 10.1145/2642937.2643008 isbn_13: 9781450330138 lyricists_name: Harman, Mark lyricists_name: Jia, Yue lyricists_id: MHARM36 lyricists_id: YJIAX90 full_text_status: public series: IEEE/ACM International Conference on Automated Software Engineering publication: ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering volume: 29 place_of_pub: New York, USA pagerange: 397-408 event_title: ASE '14: 29th IEEE/ACM International Conference on Automated Software Engineering, 15-19 September 2014, Vasteras, Sweden book_title: ASE '14: Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering editors_name: Crnkovic, I editors_name: Chechik, M editors_name: Grünbacher, P citation: Harman, M; Jia, Y; Mateo, PR; Polo, M; (2014) Angels and monsters: An empirical investigation of potential test effectiveness and efficiency improvement from strongly subsuming higher order mutation. In: Crnkovic, I and Chechik, M and Grünbacher, P, (eds.) ASE '14: Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering. (pp. pp. 397-408). ACM: New York, USA. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/1456659/1/Handley_angels_and_monsters_an_empirical.pdf