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