Survey on Impact of Software Metrics on Software Quality

Without the software development and software product knowledge it's very complicated to understand, keep away from improvement in the quality of software. There should be some dimension process to forecast the software development, and to appraise software products and its quality. In This paper provides a brief view on Software Metrics, Software Quality and Software Metrics techniques that will forecast and evaluate the specified superiority factors of software which will relate to quality. It additional discusses regarding the Quality as given through the principles like ISO, principal elements necessary for the Software Metrics and Software Quality as the measurement method to forecast the Quality in the Software. Java source code evolution are using for Software Metrics, like Defect Metrics, Size Metrics, and Complexity Metrics. Presented experiments are proving that, the software quality can be analyzed, observed, and enhanced through software metrics usage.

South African Computer Journal, 2014

As long as software has been produced, there have been efforts to strive for quality in software products. In order to understand quality in software products, researchers have built models of software quality that rely on metrics in an attempt to provide a quantitative view of software quality. The aim of these models is to provide software producers with the capability to define and evaluate metrics related to quality and use these metrics to improve the quality of the software they produce over time. The main disadvantage of these models is that they require effort and resources to define and evaluate metrics from software projects. This article briefly describes some prominent models of software quality in the literature and continues to describe a new approach to gaining insight into quality in software development projects. A case study based on this new approach is described and results from the case study are discussed.

International Journal of Scientific & Technology Research, 2020

Software metrics is becoming important every day. A measure of software characteristics which are countable or measurable is known as software metrics. Software metrics are very important because they are used for many purposes for example, estimating efficiency, arranging work things and estimating execution of software etc. Software product and software development process specific attributes are measured by software metrics. Many metrics related to coupling, cohesion etc. have been defined. This paper investigates success factors and challenges in the implementation of software metrics and also tries to investigate solutions to those challenges. The paper explains new research directions to software metrics as well which really a need of today.

The most important aim of software engineering is to improve software productivity and quality of software product and further reduce the cost of software and time using engineering and management techniques. Broadly speaking, software engineering initiative has been introduced during software crisis period to describe the collection of techniques that apply engineering and management skills to the construction and support of software process and products. There is no universally agreed theory for software measurement. And the software metrics are useful for obtaining the information on evaluation of process and product in software engineering. It helps to plan and carry out improvement in software organizations and to provide objective information about project performance, process capability and product quality. The process capability is extremely important for software industry because the quality of products is largely determined by the quality of the processes. The make use of of existing metrics and development of innovative software metrics will be important factors in future software engineering process and product development. In future, research work will be based on using software metrics in software development for the development of the time schedule, cost estimates and software quality and can be improved through software metrics. The permanent application of measurement based methodologies is used to the software process and its products to provide important and timely management information, together with the use of those techniques to improve that software process and its products. This research paper mainly concentrates on the overview of unique basics of software measurement and exclusive fundamentals of software metrics in software engineering.

2021

BARCELOS, MR.R.S.; GOMES, C.F.S.; SANSEVERINO, A.M.; SANTOS, M. Literature review on software metrics and a New Proposal. Perspectivas Online: Exatas & Engenharias, v. 11, n. 32, p. 3359, 2021. The use of metrics is important in software development activities as they make it possible to check quality, identify failures and other benefits. The objective of this paper is to propose a new software metric based on a bibliometric study and a literature review on software metrics. The bibliometric research was carried out in the Scopus and Web of Science databases to identify the distribution of articles by year of publication, the main authors, affiliation, country, the most common languages, the types of documents, journals with more publications, areas of knowledge, and the keyword clusters. Twenty-three articles were subsequently selected for reading to compose the literature review. The results of the bibliometric research show that (i) there is no defined core of research; (ii) the...

1996

In this paper we present a survey on the research field of software metrics. We start by considering the reasons why measurement of software was introduced, then we describe what are the attributes of software and of the software process that are the obj ects of measurement. A g eneral theory of measurement is presented tha t was f irst a pplied to software measurement by (Fenton 94). The two types of metrics validation, empirical and theoretical, are discussed. Then a number of metrics for the different development phases is presented in details. We discuss function points for the requirements phase and the metrics for choesion and coupling defined in ( Briand et al 94) for the design phase. F or the implementation phase we describe the suite of metrics for OO designs by (Chidameber, Kemerer 94), Lines of Code (Conte et al. 86), Software Science (Halstead 75) and Cyclomatic Number (McCabe 76).

2011

Systematic application of software metric techniques can lead to significant improvements of the quality of a final software product. However, there is still the evident lack of wider utilization of software metrics techniques and tools due to many reasons. In this paper we investigate some limitations of contemporary software metrics tools and then propose construction of a new tool that would solve some of the problems. We describe the promising prototype, its internal structure, and then focus on its independency of the input language.

2002

Abstract—Software maintainability is defined as the ease with which modifications could be made in to the software once it is delivered to the customer. While evaluating the quality of the software product, software maintainability is one of the most important aspects and it is desirable that the software should be designed and coded in such a way that it becomes more maintainable. Tracking the maintenance behavior of the software product is very complex and widely acknowledged by the researchers. We can accurately measure 'maintainability' of any software once it comes into operations but it would be too late by then, hence much has been examined in literature to measure the maintainability before software start operations by making use of software design metrics. It has proved empirically many times that there exists strong relationship between software design metrics and its corresponding maintainability. However, the framework and reference architecture in which the softwares are developing now days have changed dramatically as they make heavy use of databases. There is a strong need to re-define the relationship between software design metrics with subsequent maintainability in this changed scenario. In an attempt to address this issue quantitatively, we have proposed new suite of metrics by the induction of two new metrics which are more important and meaningful in data intensive applications. To analyze the proposed metric suite, their values are computed on five real-life applications which make use of databases with a great deal. The result shows that proposed new metrics suite is very effective indicator of software maintainability in the environment which provide remote connections to the server for accessing large database files. Based on the results it can be reasonably claimed that new metrics suite proposed in the current study would be able to predict software maintainability more precisely and accurately for those applications which makes heavy use of databases during operations.

Proceedings of the 12th International Conference on Software Technologies, 2017

The availability of quality models and metrics that permit an objective evaluation of the quality level of a software product is a relevant aspect for supporting software engineers during their development tasks. In addition, the adoption of software analysis tools that facilitate the measurement of software metrics and application of the quality models can ease the evaluation tasks. This paper proposes a preliminary investigation on the behaviour of existing software metric tools. Specifically, metrics values have been computed by using the different software analysis tools for three software systems of different sizes. Measurements show that, for the same software system and metrics, the software analysis tools provide different values. This could impact on the overall software quality evaluation for the aspect based on the selected metrics.