NDLI: An Empirical Validation of the Complexity of Code Changes and Bugs in Predicting the Release Time of Open Source Software

Content Provider	IEEE Xplore Digital Library
Author	Chaturvedi, K.K. Bedi, P. Misra, S. Singh, V.B.
Copyright Year	2013
Description	Author affiliation: Centre for Agric. Bioinf., IASRI, New Delhi, India (Chaturvedi, K.K.) \|\| Comput. & Inf. Sci, Covenant Univ., Ota, Nigeria (Misra, S.) \|\| Delhi Coll. of Arts & Commerce, Univ. of Delhi, New Delhi, India (Singh, V.B.) \|\| Dept. of Comput. Sci., Univ. of Delhi, New Delhi, India (Bedi, P.)
Abstract	With the increasing popularity of open source software, the changes in source code are inevitable. These changes in code are due to feature enhancement, new feature introduction and bug repair or fixed. It is important to note that these changes can be quantified by using entropy based measures. The pattern of bug fixing scenario with complexity of code change is responsible for the next release as these changes will cover the number of requirements and fixes. In this paper, we are proposing a method to predict the next release problem based on the complexity of code change and bugs fixed. We applied multiple linear regression to predict the time of the next release of the product and measured the performance using different residual statistics, goodness of fit curve and R2. We observed from the results of multiple linear regression that the predicted value of release time is fitting well with the observed value of number of months for the next release.
Starting Page	1201
Ending Page	1206
File Size	269009
Page Count	6
File Format	PDF
ISBN	9780769550961
DOI	10.1109/CSE.2013.201
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	software configuration management repositories open source software Computer bugs Linear regression next release time Maintenance engineering complexity of code change Complexity theory History bug repositories Open source software
Content Type	Text
Resource Type	Article

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