Predicting Fault-Proneness of Reused Object-Oriented Classes in Software Post-Releases

2017 ◽  
Vol 43 (12) ◽  
pp. 7153-7166 ◽  
Author(s):  
Jehad Al Dallal
Keyword(s):  
Object Oriented ◽  
Fault Proneness

Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software

2021 ◽  
pp. 596-618
Author(s):  
Rajvir Singh ◽  
Anita Singhrova ◽  
Rajesh Bhatia
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Effective Means ◽  
Object Oriented ◽  
Test Case Generation ◽  
Test Case ◽  
Test Cases ◽  
Time Saving ◽  
Class Level ◽  
Fault Proneness

Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO metrics are identified using feature selection techniques for generating test cases to cover fault proneness classes. In this methodology, only effective metrics are considered for assigning weights to test paths. The results indicate that the proposed methodology is effective and efficient as the average fault exposition potential of generated test cases is 90.16% and test cases execution time saving is 45.11%.

A SYSTEMATIC REVIEW OF THE EMPIRICAL VALIDATION OF OBJECT-ORIENTED METRICS TOWARDS FAULT-PRONENESS PREDICTION

2013 ◽  
Vol 23 (10) ◽  
pp. 1513-1540 ◽  
Author(s):  
BASSEY ISONG ◽  
EKABUA OBETEN
Keyword(s):  
Empirical Studies ◽  
Object Oriented ◽  
Strong Impact ◽  
Empirical Validation ◽  
Relevant Article ◽  
System Failures ◽  
The Impact ◽  
Fault Proneness ◽  
Object Oriented Metrics

Object-oriented (OO) approaches of software development promised better maintainable and reusable systems, but the complexity resulting from its features usually introduce some faults that are difficult to detect or anticipate during software change process. Thus, the earlier they are detected, found and fixed, the lesser the maintenance costs. Several OO metrics have been proposed for assessing the quality of OO design and code and several empirical studies have been undertaken to validate the impact of OO metrics on fault proneness (FP). The question now is which metrics are useful in measuring the FP of OO classes? Consequently, we investigate the existing empirical validation of CK + SLOC metrics based on their state of significance, validation and usefulness. We used systematic literature review (SLR) methodology over a number of relevant article sources, and our results show the existence of 29 relevant empirical studies. Further analysis indicates that coupling, complexity and size measures have strong impact on FP of OO classes. Based on the results, we therefore conclude that these metrics can be used as good predictors for building quality fault models when that could assist in focusing resources on high risk components that are liable to cause system failures, when only CK + SLOC metrics are used.

Role of CK Metrics to Identify Fault-Proneness in Object Oriented Software A Survey

2018 ◽  
Vol 6 (5) ◽  
pp. 1162-1164
Author(s):  
Sunil Sikka ◽  
◽  
◽  
◽  
Utpal Shrivastava ◽  
...  
Keyword(s):  
Object Oriented ◽  
Ck Metrics ◽  
Fault Proneness
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