David Fernandez-Amoros, Ruben Heradio, Christoph Mayr-Dorn, Alexander Egyed,
"Scalable Sampling of Highly-Configurable Systems: Generating Random Instances of the Linux Kernel"
: 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) 89:1-89:12, 11-2022, ISBN: 978-1-59593-882-4
Original Titel:
Scalable Sampling of Highly-Configurable Systems: Generating Random Instances of the Linux Kernel
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.