Software Metrics for Object-Oriented Software

Within this thesis the application of software complexity metrics in the object-oriented paradigm is examined. Several factors which may affect the complexity of software objects are identified and discussed. The specific applications of Maurice Halstead’s Software Science and Thomas McCabe’s cyclomatic-complexity metric are discussed in detail. The goals here are to identify methods for applying existing software metrics to objects and to provide a basis of analysis for future studies of the measurement and control of software complexity in the object-oriented paradigm of software development. Halstead’s length, vocabulary, volume, program levels and effort metrics are defined for objects. A limit for the McCabe cyclomatic complexity of an object is suggested. Also, tools for calculating these metrics have been developed in LISP on a Texas Instruments’ Explorer

Development of Web Services for Computational and Analytical Processing Code of Software Metric

This study is to develop a web service, which allows to calculate and conduct analytical processing software metrics. To achieve the goal we need to an analytical overview of the software that allows to calculate code metrics, examine the existing metrics, learn the basic architectural approaches of building a web service, explore the applicability of fuzzy logic algorithms (West et.al., 2015) for the implementation of intelligent analysis software metrics, implement a web service that allows you to calculate and conduct analytical processing software metrics based on expert opinion and make testing design a web service. There are many approaches to solving the problem of testing and verification of software. During the development of this application was used unit testing. The purpose of unit testing - to isolate parts of the program and to show that these parts are operable individually. During the development process have been implemented unit tests, as a result of testing problems have been identified. The operation of the Web service is fully consistent with the previously defined functional requirements. Consequently, the task of determining the effectiveness of the programmer and the source code evaluation solved. Keywords: fuzzy logic algorithms, SaaS, Object-oriented, cyclomatic complexity, Mamdani algorithm, RESTful, API, SVN-repository

Evaluation Criteria for Object-oriented Metrics

In this paper an evaluation model for object-oriented (OO) metrics is proposed. We have evaluated the existing evaluation criteria for OO metrics, and based on the observations, a model is proposed which tries to cover most of the features for the evaluation of OO metrics. The model is validated by applying it to existing OO metrics. In contrast to the other existing criteria, the proposed model is simple in implementation and includes the practical and important aspects of evaluation; hence it suitable to evaluate and validate any OO complexity metric

Weighted Class Complexity: A Measure of Complexity for Object Oriented System

Software complexity metrics are used to predict critical information about reliability and maintainability of software systems. Object oriented software development requires a different approach to software complexity metrics. In this paper, we propose a metric to compute the structural and cognitive complexity of class by associating a weight to the class, called as Weighted Class Complexity (WCC). On the contrary, of the other metrics used for object oriented systems, proposed metric calculates the complexity of a class due to methods and attributes in terms of cognitive weight. The proposed metric has been demonstrated with OO examples. The theoretical and practical evaluations based on the information theory have shown that the proposed metric is on ratio scale and satisfies most of the parameters required by the measurement theor

Using a Combination of Measurement Tools to Extract Metrics from Open Source Projects

Software measurement can play a major role in ensuring the quality and reliability of software products. The measurement activities require appropriate tools to collect relevant metric data. Currently, there are several such tools available for software measurement. The main objective of this paper is to provide some guidelines in using a combination of multiple measurement tools especially for products built using object-oriented techniques and languages. In this paper, we highlight three tools for collecting metric data, in our case from several Java-based open source projects. Our research is currently based on the work of Card and Glass, who argue that design complexity measures (data complexity and structural complexity) are indicators/predictors of procedural/cyclomatic complexity (decision counts) and errors (discovered from system tests). Their work was centered on structured design and our work is with object-oriented designs and the metrics we use parallel those of Card and Glass, being, Henry and Kafura's Information Flow Metrics, McCabe's Cyclomatic Complexity, and Chidamber and Kemerer Object-oriented Metrics