Hui Gao, Hongyu Kuang, Sun Kexin, Xiaoxing Ma, Alexander Egyed, Patrick Mäder, Guoping Rong, Dong Shao, He Zhang,
"Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery"
: 37th {IEEE/ACM} International Conference on Automated Software Engineering, {ASE} 2022, Rochester, MI, USA, October 10-14, 2022, Serie Lecture Notes in Computer Science, Vol. 13478, Nummer 4, ACM, Seite(n) 114:1, 11-2022, ISBN: 978-1-59593-882-4
Original Titel:
Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery
Sprache des Titels:
Englisch
Original Buchtitel:
37th {IEEE/ACM} International Conference on Automated Software Engineering, {ASE} 2022, Rochester, MI, USA, October 10-14, 2022
Original Kurzfassung:
We summarize the paper Maintaining Consistency across Engineering Artifacts, published at IEEE Computer 51(2), pp. 28-35, 2018. Detecting inconsistencies across multi-domain and multi-tool artifacts is an important and critical task. Inconsistencies may lead to project failures, cost, and schedule overrun - especially when identified incorrectly or late. The paper we summarize explores a technology for consistency checking that is able to automatically and continuously detect inconsistencies - both among knowledge within and across engineering tools.
Forschungs-