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Identifying the Software Failure Mechanisms Using Data Mining Techniques

By Nadhem Sultan, Ali Ebrahim and V. P Pawar

Abstract

Abstract. Software is ubiquitous in our daily life. It brings us great convenience and a big headache about software reliability as well: Software is never bug-free, and software bugs keep incurring monetary loss or even catastrophes. In the pursuit of better reliability, software engineering researchers found that huge amount of data in various forms can be collected from software systems, and these data, when properly analyzed, can help improve software reliability. Unfortunately, the huge volume of complex data renders simple analysis techniques incompetent; consequently, Studies have been resorting to data mining for more effective analysis. In the past few years, we have witnessed many studies on mining for software reliability reported in data mining as well as software engineering forums. These studies either develop new or apply existing data mining techniques to tackle reliability problems from different angles. In order to keep data mining researchers abreast of the latest development in this growing research area, we propose this Paper on mining for software reliability. Keywords- Reliability, Techniques I

Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.413.2664
Provided by: CiteSeerX
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