Early fault detection model using integrated and cost-effective test case prioritization

2011 ◽  
Vol 2 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Ajeet Kumar Pandey ◽  
Vivek Shrivastava
Keyword(s):  
Fault Detection ◽  
Cost Effective ◽  
Test Case ◽  
Test Case Prioritization ◽  
Detection Model ◽  
Early Fault Detection

Regression Test Case Prioritization Based on Fixed Size Candidate Set ART Algorithm

2020 ◽  
Vol 30 (03) ◽  
pp. 291-320
Author(s):  
Rongcun Wang ◽  
Zhengmin Li ◽  
Shujuan Jiang ◽  
Chuanqi Tao
Keyword(s):  
Fault Detection ◽  
Empirical Studies ◽  
Cost Effective ◽  
Regression Testing ◽  
Test Case ◽  
Test Case Prioritization ◽  
Fixed Size ◽  
C Programs ◽  
Testing Algorithm ◽  
Candidate Set

Regression testing is a very time-consuming and expensive testing activity. Many test case prioritization techniques have been proposed to speed up regression testing. Previous studies show that no one technique is always best. Random strategy, as the simplest strategy, is not always so bad. Particularly, when a test suite has higher fault detection capability, the strategy can generate a better result. Nevertheless, due to the randomness, the strategy is not always as satisfactory as expected. In this context, we present a test case prioritization approach using fixed size candidate set adaptive random testing algorithm to reduce the effect of randomness and improve fault detection effectiveness. The distance between pair-wise test cases is assessed by exclusive OR. We designed and conducted empirical studies on eight C programs to validate the effectiveness of the proposed approach. The experimental results, confirmed by a statistical analysis, indicate that the approach we proposed is more effective than random and the total greedy prioritization techniques in terms of fault detection effectiveness. Although the presented approach has comparable fault detection effectiveness to ART-based and the additional greedy techniques, the time cost is much lower. Consequently, the proposed approach is much more cost-effective.

REQUIREMENT BASED SYSTEM TEST CASE PRIORITIZATION OF NEW AND REGRESSION TEST CASES

2009 ◽  
Vol 19 (03) ◽  
pp. 453-475 ◽  
Author(s):  
R. KRISHNAMOORTHI ◽  
S. A. SAHAAYA ARUL MARY
Keyword(s):  
Fault Detection ◽  
User Satisfaction ◽  
Cost Effective ◽  
System Level ◽  
Performance Goals ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Code Coverage ◽  
Effective Manner

Test case prioritization schedules the test cases in an order that increases the effectiveness in achieving some performance goals. One of the most important performance goals is the rate of fault detection. Test cases should run in an order that increases the possibility of fault detection and also detects the most severe faults at the earliest in its testing life cycle. Test case prioritization techniques have proved to be beneficial for improving regression testing activities. While code coverage based prioritization techniques are found to be studied by most scholars, test case prioritization based on requirements in a cost effective manner has not been used for studies so far. Hence, in this paper, we propose to put forth a model for system level Test Case Prioritization (TCP) from software requirement specification to improve user satisfaction with quality software that can also be cost effective and to improve the rate of severe fault detection. The proposed model prioritizes the system test cases based on six factors: customer priority, changes in requirement, implementation complexity, usability, application flow and fault impact. The proposed prioritization technique is experimented in three phases with student projects and two sets of industrial projects and the results show convincingly that the proposed prioritization technique improves the rate of severe fault detection.

Selecting a Cost-Effective Test Case Prioritization Technique

2004 ◽  
Vol 12 (3) ◽  
pp. 185-210 ◽  
Author(s):  
Sebastian Elbaum ◽  
Gregg Rothermel ◽  
Satya Kanduri ◽  
Alexey G. Malishevsky
Keyword(s):  
Cost Effective ◽  
Test Case ◽  
Test Case Prioritization

A Multi-Factor Coverage based Test Case Prioritization Technique for Object Oriented Software

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Vedpal ◽  
Naresh Chauhan
Keyword(s):  
Fault Detection ◽  
Case Studies ◽  
Experimental Validation ◽  
Object Oriented ◽  
Object Oriented Programming ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
C Language ◽  
The Cost

Test case prioritization technique creates the sequence of test cases for execution in such a way that the test cases with higher rate of fault detection are executed earlier than those test cases which have lower rate of fault detection. In this paper a new algorithm is proposed to prioritize the test cases based on coverage of object oriented programming factors. The factors are considered on the basis of complexity and probability of errors introduced by them. For the experimental validation and analysis the proposed test case prioritization algorithm is applied on two case studies. The analyzed case studies are implemented in C++ language. By using the presented algorithm it helps to reduce the cost and time for testing the software.

scholarly journals SIMILARITY DISTANCE MEASURE AND PRIORITIZATION ALGORITHM FOR TEST CASE PRIORITIZATION IN SOFTWARE PRODUCT LINE TESTING

2018 ◽  
Author(s):  
Shahliza Abd Halim ◽  
Dayang Norhayati Abang Jawawi ◽  
Muhammad Sahak
Keyword(s):  
Fault Detection ◽  
Distance Measure ◽  
Software Product Line ◽  
Product Line ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Software Product ◽  
String Distance ◽  
Similarity Distance

To achieve the goal of creating products for a specific market segment, implementation of Software Product Line (SPL) is required to fulfill specific needs of customers by managing a set of common features and exploiting the variabilities between the products. Testing product-by-product is not feasible in SPL due to the combinatorial explosion of product number, thus, Test Case Prioritization (TCP) is needed to select a few test cases which could yield high number of faults. Among the most promising TCP techniques is similarity-based TCP technique which consists of similarity distance measure and prioritization algorithm. The goal of this paper is to propose an enhanced string distance and prioritization algorithm which could reorder the test cases resulting to higher rate of fault detection. Comparative study has been done between different string distance measures and prioritization algorithms to select the best techniques for similarity-based test case prioritization. Identified enhancements have been implemented to both techniques for a better adoption of prioritizing SPL test cases. Experiment has been done in order to identify the effectiveness of enhancements done for combination of both techniques. Result shows the effectiveness of the combination where it achieved highest average fault detection rate, attained fastest execution time for highest number of test cases and accomplished 41.25% average rate of fault detection. The result proves that the combination of both techniques improve SPL testing effectiveness compared to other existing techniques.  

scholarly journals A review of object-oriented approach for test case prioritization

2019 ◽  
Vol 16 (1) ◽  
pp. 429
Author(s):  
Umar Farooq ◽  
Hannani Aman ◽  
Aida Mustapha ◽  
Zainuri Saringat
Keyword(s):  
Fault Detection ◽  
Object Oriented ◽  
Primary Objective ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Development Lifecycle ◽  
Class Level ◽  
Software Development Lifecycle ◽  
Object Oriented Approach

<p>The most essential phase in regression testing is Test Case Prioritization (TCP), with its primary objective to increase the fault detection rate at different stages during testing. Prior to achieving the objective, existing evidence of techniques in TCP must be synthesized and analyzed. At present, fault detection for TCP based on object-oriented features only consider statement, module, and class level. The important features of object-oriented (OO) programming like inheritance and polymorphism have not been fully explored for fault detection in TCP. Such OO concepts are important for test case selection and in turn for ranking the test cases (prioritization). This paper reviews various test case prioritization techniques specific to OO systems. This review is hoped to highlight the importance and usage of TCP in relation to object-oriented software development lifecycle.</p>

scholarly journals Test Case Selection and Prioritization for Regression Testing using Fault Severity

2012 ◽  
Vol 2 (3) ◽  
pp. 1171-1177
Author(s):  
Uma Sharma ◽  
Vedant Rastogi
Keyword(s):  
Fault Detection ◽  
Regression Testing ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Performance Goal ◽  
Test Case Selection ◽  
Case Selection ◽  
Fault Severity

Regression testing is a significant but a very expensive testing process .Test case prioritization is a technique to schedule and execute the test cases in such an order that results in increasing their ability to meet some performance goal. One of the main goal is to increase the rate of fault detection –i.e. to detect the faults as early as possible during the testing process. Test case prioritization is used to minimize the expenses of regression testing. This paper  proposes  a technique  to select and prioritize the test cases and  results in   improving  the rate of fault detection.

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