The impact of structural source code changes on software quality

2012 ◽  
Author(s):  
Črt Gerlec ◽  
Marjan Heričko
Keyword(s):  
Software Quality ◽  
Source Code ◽  
Code Changes ◽  
The Impact ◽  
Source Code Changes

Augmenting commit classification by using fine-grained source code changes and a pre-trained deep neural language model

2021 ◽  
Vol 135 ◽  
pp. 106566
Author(s):  
Lobna Ghadhab ◽  
Ilyes Jenhani ◽  
Mohamed Wiem Mkaouer ◽  
Montassar Ben Messaoud
Keyword(s):  
Language Model ◽  
Source Code ◽  
Fine Grained ◽  
Code Changes ◽  
Source Code Changes

scholarly journals On the Impact of Bad Smell Agglomerations on Software Quality

2019 ◽  
Author(s):  
Amanda Damasceno Santana ◽  
Eduardo Figueiredo
Keyword(s):  
Data Mining ◽  
Correlation Analysis ◽  
Software Quality ◽  
Source Code ◽  
System Quality ◽  
Large Dataset ◽  
External Behavior ◽  
Code Quality ◽  
The Impact ◽  
Open Source Systems

When a system evolution is not planned, developers can take decisions that degrade the system quality. To cope with this problem, refactoring can be applied to the source code aiming to increase code quality without modifying the software external behavior. To know when to refactor, the concept of bad smells can be used. Bad smells are snippets of source code that suggest the need of refactoring. However, bad smells does not always appear isolated. The aim of this study is to understand the impact of bad smell agglomerations on the software quality by evaluating a large dataset of open source systems. To achieve our goal, we plan to use data mining techniques complemented with correlation analysis of the dataset.

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