TY - GEN
T1 - Defect prediction
T2 - 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2016
AU - Kamei, Yasutaka
AU - Shihab, Emad
N1 - Funding Information:
We would like to thank Ahmed E. Hassan, Thomas Zimmer-man and Massimiliano Di Penta (the co-chairs of Leaders of Tomorrow: Future of Software Engineering) for giving us the opportunity to write our vision paper on the topic of software defect prediction. We would also like to thank the reviewers and Dr. Naoyasu Ubayashi for their constructive and fruitful feedback. The first author was partially supported by JSPS KAKENHI Grant Numbers 15H05306 and 25540026.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/20
Y1 - 2016/5/20
N2 - As software systems play an increasingly important role in our lives, their complexity continues to increase. The increased complexity of software systems makes the assurance of their quality very difficult. Therefore, a significant amount of recent research focuses on the prioritization of software quality assurance efforts. One line of work that has been receiving an increasing amount of attention for over 40 years is software defect prediction, where predictions are made to determine where future defects might appear. Since then, there have been many studies and many accomplishments in the area of software defect prediction. At the same time, there remain many challenges that face that field of software defect prediction. The paper aims to accomplish four things. First, we provide a brief overview of software defect prediction and its various components. Second, we revisit the challenges of software prediction models as they were seen in the year 2000, in order to reflect on our accomplishments since then. Third, we highlight our accomplishments and current trends, as well as, discuss the game changers that had a significant impact on software defect prediction. Fourth, we highlight some key challenges that lie ahead in the near (and not so near) future in order for us as a research community to tackle these future challenges.
AB - As software systems play an increasingly important role in our lives, their complexity continues to increase. The increased complexity of software systems makes the assurance of their quality very difficult. Therefore, a significant amount of recent research focuses on the prioritization of software quality assurance efforts. One line of work that has been receiving an increasing amount of attention for over 40 years is software defect prediction, where predictions are made to determine where future defects might appear. Since then, there have been many studies and many accomplishments in the area of software defect prediction. At the same time, there remain many challenges that face that field of software defect prediction. The paper aims to accomplish four things. First, we provide a brief overview of software defect prediction and its various components. Second, we revisit the challenges of software prediction models as they were seen in the year 2000, in order to reflect on our accomplishments since then. Third, we highlight our accomplishments and current trends, as well as, discuss the game changers that had a significant impact on software defect prediction. Fourth, we highlight some key challenges that lie ahead in the near (and not so near) future in order for us as a research community to tackle these future challenges.
UR - http://www.scopus.com/inward/record.url?scp=84991653594&partnerID=8YFLogxK
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U2 - 10.1109/SANER.2016.56
DO - 10.1109/SANER.2016.56
M3 - Conference contribution
AN - SCOPUS:84991653594
T3 - 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering, SANER 2016
SP - 33
EP - 45
BT - 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering, SANER 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 March 2016 through 18 March 2016
ER -