Synergy of Classical and Model-Based Object-Oriented (OO) Metrics in Reducing Test Costs 

Abstract

Software testing and maintenance being interleaved phases span more in software life cycle. The efforts to minimize this span rely obviously on testing when maintenance is natural. The features of Object-Oriented (OO) software systems, when compared to the classical systems, claim much reducing the maintenance costwithout necessarily thepossibility of maintenance itself. It is natural that even such systems evolve due to many reasons. Though the specific reasons leading to the maintenance differ, the general rationale behind maintenance is to enhance the life-cycleand possibly the value of the existing system. Hence testing effort is more natural and significant even then. Moreover, the salient features of OO software systems furtherance the testing span despite their claim on maintenance. However, the availability of classical OO software metrics aid better early quality testing of OO systems. They exploit the critical parts of OO software systems thereby offering timely, thorough, and effective assurance. However there is not yet a common metric model in this regard. On the other hand, it is expected that the evolved model-based OO software metrics help define the subjective features more objectively facilitating users to perform metrics activities. The conflation of both classical and model-based metrics mutually alleviates their limitations and brings more synergy in reducing the test costs of OO software systems 

Authors and Affiliations

M. Raviraja Holla

Keywords

Related Articles

Enhanced Secure Big Data in Distributed Mobile Cloud Computing Using Fuzzy Encryption Model

This paper proposes a novel architecture for adaptive encryption of public cloud databases that offers a proxy-free alternative to the system. cloud system is difficult to synchronize login and authentication data betwee...

Enhanced Scalable Learning for Identifying and Ranking for Big Data Using Social Media Factors

In this paper describe a valuable information from online sources has become a prominent research area in information technology in recent years. In recent period, social media services provide a vast amount of user-gene...

Improved BSP Clustering Algorithm for Social Network Analysis

Social network analysis is a new research field in data mining. Social network analysis is the study of social networks to recognize the structure and behavior of friends. Social network analysis views social relationshi...

A Study of Data Storage Security Issues in Cloud Computing

Cloud computing provides on demand services to its purchasers. Knowledge storage is among one in every of the first services provided by cloud computing. Cloud service supplier hosts the information of knowledge owner on...

A Survey on Big Data Security and Related Techniques to Improve Security

Upgrade of security and protection in portable server farms is challengeable with proficient security key administration. For promoting and research, huge numbers of the organizations utilize huge information, however mi...

Download PDF file
  • EP ID EP141946
  • DOI 10.9756/BIJSESC.4813
  • Views 98
  • Downloads 0

How To Cite

M. Raviraja Holla (2014). Synergy of Classical and Model-Based Object-Oriented (OO) Metrics in Reducing Test Costs . Bonfring International Journal of Software Engineering and Soft Computing, 4(1), 1-4. https://europub.co.uk/articles/-A-141946