A framework for software quality measurement

2018

Background and Objectives: One of the major challenges in software engineering is how to respond to the desolate state of high-quality software development in a timely and cost-effective manner. Many studies have been conducted in an attempt to formalize the quality of software. However, according to the recent researches, the lack of comprehensive quality model is rooted in neglecting all quality aspects. Methods: In this study, we review nineteen quality models and classify them from three different perspectives, including structural, behavioral, and basic and derived aspects. The main aim is to specify and extract the more comprehensive set of quality factors to evaluate software quality. Results: This paper compares the different quality models and analyzes the factors to draw the necessary aspects in comprehensive quality models. Since the software quality involves several engineering tasks and several players who deal with quality concepts during software life cycle according ...

2009

Our long term research goal is to validate a standard-and metric-based software quality model. Today, ambiguous metric definitions lead to incomparable implementation variants in tools. Therefore, large scale empirical experiments, spanning different independent research groups, evaluating software quality models are not possible, since the generalization of the results of individual software measurements is impossible. We propose a public and extensible knowledge base-a compendium-for the unambiguous definition of software quality metrics and their connection to a standard-based software quality model. This constitutes the basis for the measurement and prediction of software quality in current and legacy systems. This compendium is published as specification for the metrics implementation. In order to provide well-defined metrics an unambiguous description framework for software metrics had to be developed. It includes formal definitions based on an extensible language-independent meta-model and language mapping definitions. We formalize an existing and well-defined meta-model for reverse engineering. Then, we define some software quality metrics based on this meta-model, as well as language mappings for Java and UML/XMI. A full set of metric definitions together with a quality model is provided in the compendium. Since we want our compendium to be a "living document", we need to maintain the provided knowledge base, the meta-models, language mappings, and metrics. Therefore, we design a maintenance process assuring the safe evolution of the common meta-model. This process is based on theorems controlling changes to the common meta-model, as well as abstraction mechanisms in form of views, hiding modifications to the common metamodel from existing metric definitions. We show feasibility by implementing our definition framework and the metrics specified in the compendium in a well known reverse engineering tool, the VizzAnalyzer. We evaluate our efforts in two industrial case studies supporting our claims and solution. We suggest that our description framework eliminates existing ambiguities in software metric definitions, simplifying the implementation of metrics in their original sense, and permitting the definition of standardized metrics. The compendium supports exchanging experiments and the evaluation of metrics. The maintenance process allows us to extend and modify definitions, e.g., add new programming languages, in a controlled and safe way. With the tools developed, it is possible to conduct the experiments we envision, and to evaluate the suitability of software quality metrics, in a next step.

International Journal of Productivity and Quality Management, 2020

The industries are giving more attention on software quality improvement and assessment, however the majority of researches has been done in the field of internal quality improvement. But, less attention has been given to the user's prospective to improve the quality of a software. The users want the best quality in the usability. The achievement of software companies totally relies upon the user's satisfaction. We focus on customer perspectives of software quality. In this article, first we present some of the existing software quality metrics and their uses. Then, we have accumulated most of the software quality metrics from the literature and prepared a bunch of 27 metrics. Then, we have conducted a survey, with our university students, on the user's perspective to rank the important software quality factors. Based on their responses, we have proposed a new quality model which is user's perspective quality model.

2007

isrn vxu-msi-da-r--07046--se c ○ 2007 by Rüdiger Lincke. All rights reserved. To my parents Gerd and Gudrun, my brother Volker, and all the people I am connected with by blood or friendship

2007

Our long term research goal is to validate a standard- and metric-based software quality model. Today, ambiguous metric definitions lead to incomparable implementation variants in tools. Therefore, ...

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.

International Journal, 2012

Software metrics provide a quantitative basis for planning and predicting software development processes. Therefore the quality of software can be controlled and improved easily. Quality in fact aids higher productivity, which has brought software metrics to the forefront. This research paper focuses on different views on software quality. Moreover, many metrics and models have been developed; promoted and utilized resulting in remarkable successes. This paper examines the realm of software engineering to see why software metrics are needed and also reviews their contribution to software quality and reliability. Results can be improved further as we acquire additional experience with variety of software metrics. These experiences can yield tremendous benefits and betterment in quality and reliability.

2016

Actually, software products are increasing inside a fast way and they are used in nearly all activities of people life. As a consequence measuring and evaluating the standard of a software product is now crucial task for most companies. Several models are anticipated to help different kinds of users having quality issues. This paper analyses our ability to measure software excellent. The analysis is dependent on the representational hypothesis of measurement. We dissect three assumptions on application quality measurement and suggest a higher measurement focus with establishing experimental relational programs (models of what we should measure) in application quality related perform. Actually, software products are increasing in a fast way and are used in almost all activities of human life. Keywords— Software Quality, Software Quality Model, Quality

ICST Transactions on Scalable Information Systems

INTRODUCTION: The emerging industrialization of software promotes the continuous development of new evaluation models that adapt to the product's characteristics and the organizations' needs. OBJECTIVES: This article aims to identify the software quality models proposed between 2016 and 2020. METHODS: We conducted an exploratory systematic review in the SciELO, IEEE Xplore, and Scopus databases, resulting in 14 research papers proposing new models for assessing software quality. RESULTS: 79% of the research papers were extracted from IEEE Xplore, and 50% of them were authored by individuals affiliated with European institutions. We presented various software quality models focused on assessing both product quality and usability for specific purposes. Additionally, we reported that the proposed models are based on common software quality metrics standards such as CMMI, ISO/IEC 9126, and others. CONCLUSION: The review serves to update the state of the art regarding the softwar...

— In this paper we present a general software quality model, providing the possibility to describe different concepts related to quality. We show that our quality model is able to integrate the various concepts found in quality standards and different quality models. Furthermore, we provide different quality views related to software quality, enabling consistency and continuity of quality-related information. The most influential factor for the developers of software is the customer perception. We connect the developer with the customer to derive a common interpretation for quality. This paper introduces a model for software quality by connecting and integrating the different views of software quality. In addition, it connects the customer view with the developer view of software quality and it treats software as a product.