An Empirical Study on Object-Oriented Metrics and Software Evolution in Order to Reduce Testing Costs by Predicting Change-Prone Classes

2011 ◽  
Author(s):  
Sinan Eski ◽  
Feza Buzluca
Keyword(s):  
Empirical Study ◽  
Software Evolution ◽  
Object Oriented ◽  
Object Oriented Metrics ◽  
Testing Costs

Applicability of Lehman Laws on Open Source Evolution

2015 ◽  
pp. 199-224
Author(s):  
Nisha Ratti ◽  
Parminder Kaur
Keyword(s):  
Open Source ◽  
Real World ◽  
Software Maintenance ◽  
Software Evolution ◽  
Object Oriented ◽  
User Requirements ◽  
Continuous Change ◽  
Essential Characteristic ◽  
Time Period ◽  
Object Oriented Metrics

Software evolution is the essential characteristic of the real world software as the user requirements changes software needs to change otherwise it becomes less useful. In order to be used for longer time period, software needs to evolve. The software evolution can be a result of software maintenance. In this chapter, a study has been conducted on 10 versions of GLE (Graphics Layout Engine) and FGS (Flight Gear Simulator) evolved over the period of eight years. An effort is made to find the applicability of Lehman Laws on different releases of two softwares developed in C++ using Object Oriented metrics. The laws of continuous change, growth and complexity are found applicable according to data collected.

scholarly journals Empirical Study of Object-Oriented Metrics.

2006 ◽  
Vol 5 (8) ◽  
pp. 149 ◽  
Author(s):  
K.K. Aggarwal ◽  
Yogesh Singh ◽  
Arvinder Kaur ◽  
Ruchika Malhotra
Keyword(s):  
Empirical Study ◽  
Object Oriented ◽  
Object Oriented Metrics

Analyzing Evolution Patterns of Object-Oriented Metrics

2019 ◽  
Vol 6 (3) ◽  
pp. 49-66
Author(s):  
Ruchika Malhotra ◽  
Megha Khanna
Keyword(s):  
Software Metrics ◽  
Software Evolution ◽  
Structural Characteristics ◽  
Object Oriented ◽  
Study Groups ◽  
Four Dimensions ◽  
Maintenance Decisions ◽  
Software Practitioners ◽  
Object Oriented Metrics

Software evolution is mandatory to keep it useful and functional. However, the quality of the evolving software may degrade due to improper incorporation of changes. Quality can be monitored by analyzing the trends of software metrics extracted from source code as these metrics represent the structural characteristics of a software such as size, coupling, inheritance etc. An analysis of these metric trends will give insight to software practitioners regarding effects of software evolution on its internal structure. Thus, this study analyzes the trends of 14 object-oriented (OO) metrics in a widely used mobile operating system software, Android. The study groups the OO metrics into four dimensions and analyzes the trends of these metrics over five versions of Android software (4.0.2-4.3.1). The results of the study indicate certain interesting patterns for the evaluated dimensions, which can be helpful to software practitioners for outlining specific maintenance decisions to improve software quality.

CODE CLONE DETECTION USING OBJECT ORIENTED METRICS

2020 ◽  
Vol 9 (6) ◽  
pp. 3925-3931
Author(s):  
S. Sharma ◽  
D. Rattan ◽  
K. Singh
Keyword(s):  
Object Oriented ◽  
Clone Detection ◽  
Code Clone ◽  
Object Oriented Metrics

Applying object-oriented metrics to Ada 95

1996 ◽  
Vol XVI (5) ◽  
pp. 48-58 ◽  
Author(s):  
William W. Pritchett
Keyword(s):  
Object Oriented ◽  
Ada 95 ◽  
Object Oriented Metrics
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