The Java Pathfinder Workshop 2019

Autor: Timo Kehrer, Ji Wang, Minxing Tang, Pavel Parizek, Elena Sherman, Eric Mercer, Peter Aldous, Zhenbang Chen, Ismet Burak Kadron, Koushik Sen, Tevfik Bultan, Yannic Noller, Hoang Lam Nguyen, Cyrille Artho, Benjamin M. Ogles, Kyle Storey, Joshua Hooker, Lucas Bang, Egor Namakonov, Alyas Almaawi, Hengbiao Yu, Lars Grunske, Corina S. Păsăreanu, Seemanta Saha, S. Jacob Powell, Willem Visser, William Eiers, Sarfraz Khurshid, David Lo, Quoc-Sang Phan, Xuan-Bach D. Le, Wei Dong, Rohan Padhye, Simon Goldsmith, Hayes Converse, Lasse Berglund, Sasa Misailovic, Milos Gligoric
Rok vydání: 2020
Předmět:
Zdroj: ACM SIGSOFT Software Engineering Notes. 45:20-22
ISSN: 0163-5948
Popis: Java Path nder (JPF) was originally developed as an explicit- state software model checker, and subsequently evolved into an extensible Java bytecode analysis framework that has been suc- cessfully used to implement techniques such as symbolic and con- colic execution, compositional veri cation, parallel execution, in- cremental program analysis, and many more. To share recent research progress with JPF and related tools among the community, we have organized the annual JPF work- shop with the Automated Software Engineering Conference (ASE) 2019, held in San Diego, California, USA. We invited submissions about on-going and existing research, experience, and position papers on topics (1) related to JPF, its extensions and applica- tions in various domains; and (2) Java/Android program analysis in general. This paper gives an overview of all presentations and papers of the workshop, as well the results of the discussions.
Databáze: OpenAIRE