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

2013 ◽  
Author(s):  
K.K. Chaturvedi ◽  
Punam Bedi ◽  
Sanjay Misra ◽  
V.B. Singh
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Release Time ◽  
Empirical Validation ◽  
Code Changes

scholarly journals Applying Information Measure for Predicting Release Time of Open Source Software

2017 ◽  
Vol 15 (1) ◽  
pp. 29-39
Author(s):  
Talat PARVEEN ◽  
Hari Darshan ARORA
Keyword(s):  
Regression Model ◽  
Open Source ◽  
Open Source Software ◽  
Goodness Of Fit ◽  
Source Code ◽  
Release Time ◽  
Entropy Measure ◽  
Frequent Change ◽  
Code Change ◽  
Code Changes

Open Source Software (OSS) is updated regularly to meet the requirements posed by the customers. The source code of OSS undergoes frequent change to diffuse new features and update existing features in the system, providing a user friendly interface. The source code changes for fixing bugs and meeting user end requirements again affects the complexity of the code change and creates bugs in the software which are accountable to the next release of software. In this paper, the complexity of code changes in various Bugzilla open source software releases, from version 2.0 on 19th Sep, 1998, to 5.0.1 on 10th Sep, 2015, bugs in each software version release, and the time of release of each software version are considered, and the data used to predict the next release time. The Shannon entropy measure is used to quantify the code change process in terms of entropy for each software release. Observed code changes are utilized to quantify them into entropy units and are further used to predict the next release time. A neural network-based regression model is used to predict the next release time. The performance is compared with the R measure calculated using the multi linear regression model, and a goodness of fit curve is produced.

AN EMBEDDED OSS RELIABILITY AND OPTIMIZATION ANALYSIS INCORPORATING IMPERFECT DEBUGGING

2009 ◽  
Vol 16 (04) ◽  
pp. 371-384
Author(s):  
YOSHINOBU TAMURA ◽  
SHIGERU YAMADA
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Software Reliability ◽  
Software Maintenance ◽  
Reliability Assessment ◽  
Release Time ◽  
Network Computing ◽  
Imperfect Debugging ◽  
Network Technologies

As a result of the technological progress, software development environment has changed into development paradigm based on client/server systems by using network computing technologies. Network technologies have made rapid progress with the dissemination of computer systems in all areas. These network technologies become increasingly more complex in a wide sphere. Especially, open source software systems which serve as key components of critical infrastructures in the society are still ever-expanding now. In this paper, we propose a method of software reliability assessment based on stochastic differential equations. Especially, we derive several assessment measures in terms of imperfect debugging. Also, we analyze actual software fault-count data to show numerical examples of software reliability assessment for an embedded open source software. Further, it has been necessary to manage the software development process in terms of reliability, effort, and release time. Then, we find the optimal release time based on the total expected software maintenance effort.

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