dc.contributor.author |
Lindahl, T |
en |
dc.contributor.author |
Sagonas, K |
en |
dc.date.accessioned |
2014-03-01T02:49:38Z |
|
dc.date.available |
2014-03-01T02:49:38Z |
|
dc.date.issued |
2004 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34655 |
|
dc.subject |
Defect Detection |
en |
dc.subject |
Legacy Software |
en |
dc.subject |
Real World Application |
en |
dc.subject |
Software Development |
en |
dc.subject |
Software Quality Assurance |
en |
dc.subject |
Software Tool |
en |
dc.subject |
Source Code |
en |
dc.subject |
Static Analysis |
en |
dc.subject |
Virtual Machine |
en |
dc.subject |
Lines of Code |
en |
dc.title |
Detecting Software Defects in Telecom Applications Through Lightweight Static Analysis: A War Story |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1007/978-3-540-30477-7_7 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/978-3-540-30477-7_7 |
en |
heal.publicationDate |
2004 |
en |
heal.abstract |
In safety-critical and high-reliability systems, softwar e development and maintenance are costly endeavors. The cost can be reduced if software er- rors can be identified through automatic tools such as progra m analyzers and compile-time software checkers. To this effect, this paper describes the architec- ture and implementation of a software tool that uses lightweight static analysis to detect discrepancies |
en |
heal.journalName |
Asian Symposium on Programming Languages and Systems |
en |
dc.identifier.doi |
10.1007/978-3-540-30477-7_7 |
en |