Conference proceeding
Diagnosis of software failures using computational geometry
Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering, pp 496-499
06 Nov 2011
Abstract
Complex software systems have become commonplace in modern organizations and are considered critical to their daily operations. They are expected to run on a diverse set of platforms while interoperating with a wide variety of other applications. Although there have been advances in the discipline of software engineering, software faults, and malicious attacks still regularly cause system downtime [1]. Downtime of critical applications can create additional work, cause delays, and lead to financial loss [2]. This paper presents a computational geometry technique to tackle the problem of timely failure diagnosis during the execution of a software application. Our approach to failure diagnosis involves collecting a set of software metrics and building a geometric enclosures corresponding to known classes of faults. The geometric enclosures are then used to partition the state space defined by the metrics
Metrics
19 Record Views
3 citations in Scopus
Details
- Title
- Diagnosis of software failures using computational geometry
- Creators
- Edward Stehle - Drexel UniversityKevin Lynch - Drexel UniversityMaxim Shevertalov - Drexel UniversityChris Rorres - Drexel UniversitySpiros Mancoridis - Drexel University
- Publication Details
- Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering, pp 496-499
- Series
- ASE '11
- Publisher
- IEEE Computer Society
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science; [Retired Faculty]
- Scopus ID
- 2-s2.0-84855460526
- Other Identifier
- 991019173421604721