Dynamic Software Metrics for Object Oriented Software: A Review

2015 ◽  
pp. 579-589 ◽  
Author(s):  
Anjana Gosain ◽  
Ganga Sharma
Keyword(s):  
Software Metrics ◽  
Object Oriented ◽  
Dynamic Software

scholarly journals Quality Metrics measurement for Hybrid Systems (Aspect Oriented Programming – Object Oriented Programming)

2021 ◽  
Vol 3 (3) ◽  
pp. 82-99
Author(s):  
Mazen Ismaeel Ghareb ◽  
Gary Allen
Keyword(s):  
Software Metrics ◽  
Object Oriented ◽  
Quality Metrics ◽  
Object Oriented Programming ◽  
Software Analysis ◽  
Programming Software ◽  
Dynamic Software ◽  
Software Quality Metrics ◽  
Dynamic Metrics ◽  
New Framework

This paper explores a new framework for calculating hybrid system metrics using software quality metrics aspect-oriented and object-oriented programming. Software metrics for qualitative and quantitative measurement is a mix of static and dynamic software metrics. It is noticed from the literature survey that to date, most of the architecture considered only the evaluation focused on static metrics for aspect-oriented applications. In our work, we mainly discussed the collection of static parameters ,  long with AspectJ-specific dynamic software metrics.The structure may provide a new direction for research while predicting software attributes because earlier dynamic metrics were ignored when evaluating quality attributes such as maintainability, reliability, and understandability of Asepect Oriented software. Dynamic metrics based on the  fundamentals of software engineering are equally crucial for software analysis as are static metrics. A similar concept is borrowed with the introduction of dynamic software metrics to implement aspect-riented software development.Currently, we only propose a structure and model using static and dynamic parameters to test the aspect-oriented method, but we still need to validate the proposed approach.

Reference Values for Object-Oriented Software Metrics

2009 ◽  
Author(s):  
Kecia A. M. Ferreira ◽  
Mariza A. S. Bigonha ◽  
Roberto S. Bigonha ◽  
Heitor C. Almeida ◽  
Luiz F. O. Mendes
Keyword(s):  
Reference Values ◽  
Software Metrics ◽  
Object Oriented

scholarly journals Impact of the Object-oriented Software Evolution on Software Metrics: The Iris Approach

2018 ◽  
Vol 11 (8) ◽  
pp. 1-13
Author(s):  
Ra�Fat AL-Msie�deen ◽  
Anas H. Blasi ◽  
◽  
Keyword(s):  
Software Metrics ◽  
Software Evolution ◽  
Object Oriented

scholarly journals Effectiveness of Software Metrics for Object-oriented System

2012 ◽  
Vol 6 ◽  
pp. 420-427 ◽  
Author(s):  
Yeresime Suresh ◽  
Jayadeep Pati ◽  
Santanu Ku Rath
Keyword(s):  
Software Metrics ◽  
Object Oriented ◽  
Oriented System

A Network of Object-Oriented Software Metrics’ Parameters

2021 ◽  
Author(s):  
Marwah M.A. Dabdawb ◽  
Basim Mahmood
Keyword(s):  
Software Metrics ◽  
Object Oriented

Automatic Extraction of Object-Oriented Software Metrics

1997 ◽  
pp. 15-25
Author(s):  
Martin Hitz ◽  
Sabine Stiller
Keyword(s):  
Software Metrics ◽  
Object Oriented ◽  
Automatic Extraction

Software Quality Measurement

2019 ◽  
pp. 150-181
Author(s):  
Dalila Amara ◽  
Latifa Ben Arfa Rabai
Keyword(s):  
Literature Review ◽  
Comparative Study ◽  
Quality Assessment ◽  
Software Quality ◽  
Software Metrics ◽  
Development Process ◽  
Quality Measurement ◽  
Object Oriented ◽  
Software Measurement ◽  
Software Quality Measurement

Software measurement helps to quantify the quality and the effectiveness of software to find areas of improvement and to provide information needed to make appropriate decisions. In the recent studies, software metrics are widely used for quality assessment. These metrics are divided into two categories: syntactic and semantic. A literature review shows that syntactic ones are widely discussed and are generally used to measure software internal attributes like complexity. It also shows a lack of studies that focus on measuring external attributes like using internal ones. This chapter presents a thorough analysis of most quality measurement concepts. Moreover, it makes a comparative study of object-oriented syntactic metrics to identify their effectiveness for quality assessment and in which phase of the development process these metrics may be used. As reliability is an external attribute, it cannot be measured directly. In this chapter, the authors discuss how reliability can be measured using its correlation with syntactic metrics.

Software Metrics and Design Quality in Object Oriented Paradigm

2011 ◽  
pp. 256-272
Author(s):  
Gopalakrishnan T.R. Nair ◽  
Selvarani R
Keyword(s):  
Risk Assessment ◽  
Software Metrics ◽  
Research Effort ◽  
Object Oriented ◽  
Object Oriented Programming ◽  
Quality Factors ◽  
Engineering Software ◽  
Building Models ◽  
Future Challenges ◽  
Significant Research

As the object oriented programming languages and development methodologies moved forward, a significant research effort was spent in defining specific approaches and building models for quality based on object oriented measurements. Software metrics research and practice have helped in building an empirical basis for software engineering. Software developers require objectives and valid measurement schemes for the evaluation and improvisation of product quality from the initial stages of development. Measuring the structural design properties of a software system such as coupling, inheritance, cohesion, and complexity is a promising approach which can lead to an early quality assessment. The class codes and class diagrams are the key artifacts in the development of object oriented (OO) software and it constitutes the backbone of OO development. It also provides a solid foundation for the design and development of software with a greater influence over the system that is implemented. This chapter presents a survey of existing relevant works on class code / class diagram metrics in an elaborate way. Here, a critical review of the existing work is carried out in order to identify the lessons learnt regarding the way these studies are performed and reported. This work facilitates the development of an empirical body of knowledge. The classical approaches based on statistics alone do not provide managers and developers with a decision support scheme for risk assessment and cost reduction. One of the future challenges is to use software metrics in a way that they creatively address and handle the key objectives of risk assessment and the estimation of external quality factors of the software.

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