scholarly journals A Large Empirical Study on Automatically Classifying Software Maintainability Concerns from Issue Summaries

2021 ◽  
Vol 6 (2) ◽  
pp. 161-174
Author(s):  
Celia Chen ◽  
Michael Shoga
Keyword(s):  
Empirical Study ◽  
Software Maintainability

An empirical study on the impact of static typing on software maintainability

2013 ◽  
Vol 19 (5) ◽  
pp. 1335-1382 ◽  
Author(s):  
Stefan Hanenberg ◽  
Sebastian Kleinschmager ◽  
Romain Robbes ◽  
Éric Tanter ◽  
Andreas Stefik
Keyword(s):  
Empirical Study ◽  
Software Maintainability ◽  
The Impact ◽  
Static Typing

scholarly journals The Connection between Antipatterns and Maintainability in Firefox

2017 ◽  
Vol 23 (2) ◽  
pp. 471-490
Author(s):  
Dénes Bán
Keyword(s):  
Machine Learning ◽  
Adverse Effect ◽  
Empirical Study ◽  
Detrimental Effect ◽  
Source Code ◽  
Correlation Coefficients ◽  
Initial Assumption ◽  
Objective Evidence ◽  
Software Maintainability ◽  
Browser Application

The notion that antipatterns have a detrimental effect on source code maintainability is widely accepted, but there is relatively little objective evidence to support it. We seek to investigate this issue by analyzing the connection between antipatterns and maintainability in an empirical study of Firefox, an open source browser application developed in C++. After extracting antipattern instances and maintainability information from 45 revisions, we looked for correlations to uncover a connection between the two concepts. We found statistically significant negative values for both Pearson and Spearman correlations, most of which were under -0.65. These values suggest there are strong, inverse relationships, thereby supporting our initial assumption that the more antipatterns the source code contains, the harder it is to maintain. Lastly, we combined these data into a table applicable for machine learning experiments, which we conducted using Weka [10] and several of its classifier algorithms. All five regression types we tried had correlation coefficients over 0.77 and used mostly negative weights for the antipattern predictors in the models we constructed. In conclusion, we can say that this empirical study is another step towards objectively demonstrating that antipatterns have an adverse effect on software maintainability.

Individuals without jobs: An empirical study of job-seeking behavior and reemployment.

1996 ◽  
Vol 81 (1) ◽  
pp. 76-87 ◽  
Author(s):  
Connie R. Wanberg ◽  
John D. Watt ◽  
Deborah J. Rumsey
Keyword(s):  
Empirical Study ◽  
Job Seeking ◽  
Seeking Behavior
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