Predicting Web Service Maintainability via Object-Oriented Metrics: A Statistics-Based Approach

Author(s):  
José Luis Ordiales Coscia ◽  
Marco Crasso ◽  
Cristian Mateos ◽  
Alejandro Zunino ◽  
Sanjay Misra
2020 ◽  
Vol 9 (6) ◽  
pp. 3925-3931
Author(s):  
S. Sharma ◽  
D. Rattan ◽  
K. Singh

1996 ◽  
Vol XVI (5) ◽  
pp. 48-58 ◽  
Author(s):  
William W. Pritchett

2006 ◽  
Vol 32 (3) ◽  
pp. 209-211 ◽  
Author(s):  
Naveen Sharma ◽  
Padmaja Joshi ◽  
R.K. Joshi

Author(s):  
Nisha Ratti ◽  
Parminder Kaur

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.


Author(s):  
Sanjay Misra ◽  
Adewole Adewumi

This chapter presents the analysis of ten recently proposed object-oriented metrics based on cognitive informatics. The metrics based on cognitive informatics use cognitive weight. Cognitive weight is the representation of the understandability of the piece of software that evaluates the difficulty experienced in comprehending and/or performing the piece of software. Development of metrics based on Cognitive Informatics (CI) is a new area of research, and from this point of view, for the analysis of these metrics, it is important to know their acceptability from other existing evaluation and validation criteria. This chapter presents a critical review on existing object-oriented cognitive complexity measures. In addition, a comparative study based on some selected attributes is presented.


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