Localizing Configurations In Highly-Configurable Systems
Keywords
Configurations; Program analysis; Testing; Variability
Abstract
The complexity of configurable systems has grown immensely, and it is only getting more complex. Such systems are a challenge for software testing and maintenance, because bugs and other defects can and do appear in any configuration. One common requirement for many development tasks is to identify the configurations that lead to a given defect or some other program behavior. We distill this requirement down to a challenge question: given a program location in a source file, what are valid configurations that include the location? The key obstacle is scalability. When there are thousands of configuration options, enumerating all combinations is exponential and infeasible. We provide a set of target programs of increasing difficulty and variations on the challenge question so that submitters of all experience levels can try out solutions. Our hope is to engage the community and stimulate new and interesting approaches to the problem of analyzing configurations.
Publication Date
8-20-2018
Publication Title
ACM International Conference Proceeding Series
Volume
1
Number of Pages
269-273
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1145/3233027.3236404
Copyright Status
Unknown
Socpus ID
85055492738 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85055492738
STARS Citation
Gazzillo, Paul; Koc, Ugur; Nguyen, Thanhvu; and Wei, Shiyi, "Localizing Configurations In Highly-Configurable Systems" (2018). Scopus Export 2015-2019. 9544.
https://stars.library.ucf.edu/scopus2015/9544