CASM'20
ACM SAC track on Code Analysis and Software Mining
ACM SAC track on Code Analysis and Software Mining
The 35rd ACM/SIGAPP Symposium On Applied Computing (ACM SAC'20) provides a variety of tracks.
The objective of CASM track is to provide researchers and software developers the opportunity to present their observations, experiences, and research in the area of code analysis and software mining. The aim is to provide this novel topic to ACM SAC, which is not currently sufficiently covered. The area is broad, covering code transformation, static and dynamic code analysis, bytecode analysis, user interface derivation, automated test extraction, quality assurance, clone detection, inconsistency detection, security reviews, API dependency mining, control-flow modeling and reconstruction, software repository mining with many others. The outcomes of research in this area is expected to report on the best practices, state of the art, production level experience, impact on the development, design, maintenance, sustainability, security and other software quality attributes.
ACM SAC proceedings and published in the ACM digital library, being indexed by Thomson ISI Web of Knowledge and Scopus.
NOTICE: Best accepted papers to be invited to Scientific Programming Journal special issue on Code Analysis and Software Mining in Scientific and Engineering Applications (IF 1.289, CiteScore 1.3)
the full paper length is 8 pages + 2 pages at extra charge (max of 10 pages)
the poster length is 3 pages + 1 page at extra charge (max of 4 pages).
Blind review