Integrated Intelligent Research (IIR) 101 IMPROVEMENT OF SOFTWARE MAINTENANCE AND RELIABILITY USING DATA MINING TECHNIQUES

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 of 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 the analysis of simple 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 data mining for software reliability. In this paper, we will present a comprehensive overview of this area, examine representative studies, and lay out challenges to data mining researchers