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 International Conference on Automated Software Engineering (ASE) Rochester, MI, USA, Serie Lecture Notes in Computer Science (LNCS), 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 International Conference on Automated Software Engineering (ASE) Rochester, MI, USA
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-