process and product quality in software engineering

This chapter outlines the approach through a set of principles, wherein each principle focuses on systematic achievement of a specific quality engineering concern and contributes to the quality assurance of software systems in a consistent manner. In addition to the process models for development and testing, the definition of software quality was taken from the standard ISO/IEC 25010. The objective of quality assessment (i.e., assigning a value of quality to a software product) corresponds to the sorting problématique (β) in the MCDA domain. It is unrealistic to assume and hardly feasible to ensure correlation independence in the context of software quality assessment. Process is how you get from point A to point B. Software products must have good quality. Therefore, a potential MCDA method must address decision problems with a finite set of decision criteria in order to be applicable for SQA purposes. Some factors that influence quality and productivity are: 3. The software engineering process, discussed in the Software Engineering Process KA, influences the quality characteristics of software products, which in turn affect quality as perceived by stakeholders. Functional analysis can be used to speculate about and evaluate assumptions, thereby eliminating judgment or opinions as the basis for product design. According to the literature [68,69], the combination of quantitative and qualitative methods is usually more beneficial than applying either approach separately: statistical relationships found between the quantitative variables can be verified against qualitative data and vice versa. The type of decision problem handled by a potential MCDA method must correspond to the type of decision problem represented by the software product quality assessment. By continuing you agree to the use of cookies. How to combine our graphical model with quantitative metrics is an interesting topic for further research. The software design must be sensitive to the impact of resource utilization on performance objectives. Value (score) independence: For each pair of quality aspects, their values are uncorrelated. Customer Problems 4. The ISO/IEC 12207 Software life cycle processes [55] standard was initially used to describe the research subjects, software producing organizations and their product outputs. This tenant of IPPD identifies four central themes for establishing a quality software product: Customer needs should determine the nature of the software product and processes. In the main data collection and analysis phase, the Grounded Theory method was applied as it suited the purposes of the study as the research topic, test processes in organizations, was considered a large and broad topic. It’s Quality and Productivity depends on the processes which develop and maintain those software products. An appropriate analysis should be performed and presented to the quality experts and quality stakeholders, who should be aware of potential consequences of dependent quality aspects. How to obtain and use such quantitative data in the analysis of software architecture is the key problem to be solved. Functional analysis accentuates the existence of incomplete or inconclusive information to draw attention to suppositions that are not substantiated. This definition was expanded in the testing-related processes with the test process model defined in the ISO/IEC 29119 test standard [7], which defines the organization and process activities from the viewpoint of testing. In this chapter, we demonstrated our graphical quality models as qualitative models. Example assumptions include preference independence, difference independence, value independence, and preference transitivity. Intrinsic constraints of MCDA refer to the mutual correspondence between a potential MCDA method and the basic characteristics of the software product quality assessment problem. Functional analysis and allocation is employed to achieve the following six fundamental design challenges confronting, of MCDA refer to the mutual correspondence between a potential MCDA method and the basic characteristics of the, Software Organizations and Test Process Development, was applied to define the fundamental concepts for process improvement, as this standard offers an assessment model for organizational processes defined in the ISO/IEC 12207. Techniques used in particular MCDA methods make certain assumptions regarding input information. Performance requirements can then be allocated and specified for the design elements once the solution has been appraised to be suitable. The reason to apply OUs as an assessment unit instead of entire corporations or projects was to normalize the differences between the organizations, and minimize the effect of different objectives and business goals, and to enable direct comparison between research subjects. In smaller organizations, the organizational management operates within the OU or is directly above it. Richard F. Schmidt, in Software Engineering, 2013. (2011) and Wagner et al. Determining resource utilization. Therefore, a potential MCDA method must address the sorting problématique in order to be applicable for SQA purposes. Software quality management is a management process that aims to develop and manage the quality of software in such a way so as to best ensure that the product meets the quality standards expected by the customer while also meeting any necessary regulatory and developer requirements, if any. Software quality management is the answer when the question of how to improve software quality of the product is posed. A potential MCDA method must handle limitations on the ability and willingness of software quality decision makers to provide information on their preferences concerning software product quality. If these assumptions are not met, the method may provide invalid results. I said point B. Possible options include a finite or an infinite number of criteria. Resolving assumptions. The functional analysis and allocation practice systematically identifies and investigates discrete transactional threads to completely specify a functional solution. The increased complexity and scale of software systems presents difficult challenges in design, development, and asserting software quality. The triangulation of data in research means application and comparison of several types and sources of data to further validate the results. A closely related work on software quality modeling is the so-called activity-based approach proposed by Deissenboeck et al. This constraint disqualifies all MCDA methods that address continuous (optimization) decision problems, which handle an infinite space of potential decision alternatives. They are used to quantify defects, cost, schedule, productivity and estimation of various project resources and del… Any software process must include the following four activities: 1. In the activity-based approach, quality models are constructed based on two notions: the facts and the activities. Project managers have a wide variety of metrics to choose from. In ISO/IEC 12207 the organization and products are described to compose a set of processes. Let's imagine you're running a successful business creating handmade cards, where customers can place orders detailing their specifications. software engineering is the the management of different phases in SDLC to give a quality product. The Grounded Theory method was selected as an analysis method in the preliminary phase of the study, as the nature of the research topic and the existing data were considered too broad and unstructured for quantitative analysis. Some MCDA methods require decision makers to directly specify a model of their preferences; others offer the possibility of inferring a preference model from example decisions (in our case quality assessments). The weaknesses of such quality models discussed in section “Related works and open problems” have been addressed successfully in our graphical quality modeling approach. Products should satisfy customer needs at lower cost (reduced product and life-cycle costs). The functional architecture represents a comprehensive, integrated set of data processing transactions. Yet, at least some of the problem-intrinsic constraints determine the feasibility of using an MCDA method for the purpose of SQA. The intention is to develop new methods and techniques that can support software development organizations in their aim to have a better software process. In particular, graphic quality models make full use of the knowledge of the system's structure, where a node in the quality model associates an architectural design element, including the components, connectors, and configuration features, with an observable phenomenon of its quality-carrying property. Software Quality Assurance (SQA) is simply a way to assure quality in the software. Customer Satisfaction Figure 10.1 addresses the role of the functional architecture as the initial step in the translation of software requirements into a design for the software product. Simplifying the solution. The essence of software quality engineering is to investigate the relationships among in-process metrics, project characteristics, and end-product quality, and, based on the findings, to engineer improvements in both process and product quality. Delayed Delivery: Software takes longer than the estimated time to develop, which in turn leads to cost shooting up. ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. URL: https://www.sciencedirect.com/science/article/pii/B9780124077683000057, URL: https://www.sciencedirect.com/science/article/pii/B9780128023013000065, URL: https://www.sciencedirect.com/science/article/pii/B9780124170094000053, URL: https://www.sciencedirect.com/science/article/pii/B9780124077683000100, URL: https://www.sciencedirect.com/science/article/pii/B978012800162200004X, URL: https://www.sciencedirect.com/science/article/pii/B9780123965264000011, Software Integrated Product and Process Development, Quality management and Software Product Quality Engineering, Padmalata V. Nistala, ... Anand Kumar, in, Relating System Quality and Software Architecture, applied ontology extraction and analysis techniques to the definitions of, The functional analysis and allocation practice provides an approach for transforming software requirements into the functional transactions that the software product must enable. Therefore, the issue of correlated quality aspects should be considered explicitly during quality modeling—thus already before quality assessment is applied. As the large companies may have different business goals than the small companies, it was unfeasible to compare them directly; similarly, different projects may have different purposes and goals. ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. Quality management and Software Product Quality Engineering. They are used to measure the efficiency and effectiveness of various processes. 3. They studied 67 most commonly discussed software product quality attributes and concluded that there is a lack of consensus on the concepts and terminologies used in this field. For example, Barron and Barrett [4] point out that in the context of MCDA methods with an additive aggregation model, strong positive correlations among attributes generally reduce the sensitivity for attributing weights, and strong negative correlations increase this sensitivity. Thus, the complicated relationships between the quality attributes cannot be modeled in the activity-based approaches. An organizational unit can consist of one specific project or a specific group responsible for one product within a larger corporation, but especially in micro- and small-sized [62] companies, one organization unit can consist of the entire company. Copyright © 2016 Elsevier Inc. All rights reserved. Description. While the operational model describes the role of the software product in executing a business or operational process, the functional architecture explains the data processing actions the software product must perform. Difference independence: For each quality aspect, the preference differences are equal for all pairs of alternative software products that differ by the same amount on this aspect and are the same on other aspects. We use cookies to help provide and enhance our service and tailor content and ads. Process quality is one of a number of contributors to product quality. Classical decision support theory distinguishes between several types of decision problems, referred to as problématiques. Quality Engineers focus on optimizing product quality which W. Edwards Deming defined as: Quality = Results of work efforts Total costs. Product is like a destination. Basic quality and productivity data are collected. Functional analysis and allocation is employed to achieve the following six fundamental design challenges confronting software product quality. (2009) applied ontology extraction and analysis techniques to the definitions of software product quality attributes. Software Engineering Assignment Help, What is process and product quality, What is Process and product quality? This is important in software development as some product quality attributes are hard to assess. These are metrics that pertain to Process Quality. On the other hand, user requirements on SQA will typically represent sufficient criteria, meaning that poor performance of an MCDA method with respect to some requirements can be compensated by its good performance concerning other requirements. Typical examples of activities are attacking the system related to system's security and modifying the code of a class related to the modifiability. Quality improvement is a concept that has become widely understood and embraced across all industries in the past few decades. He compared the structure as well as the coverage of quality attributes in these models. The complicated relationships between various quality attributes can be represented by multiple links between the nodes. In this chapter, a product quality engineering approach has been proposed to assert software quality by connecting the generic software processes defined at the organization level to specific product quality concerns through quality engineering techniques. The process of software engineering converts and transforms high level stated needs into an end product through various intermediate software artifacts such as requirements, use cases, design diagrams, code, test cases, and so on. Traveling. Software quality metrics can be divided further into end-product quality metrics and in-process quality metrics. It should be a part of the quality modeling process. A software process (also knows as software methodology) is a set of related activities that leads to the production of the software. Chapter 12 describes the physical architecture and how it is derived from the functional architecture. In this approach, the quality of the system is manifested by how facts affect activities, where the impact of a fact on an activity can be either positive or negative depending on whether the fact contributes to the action positively or negatively. Software design techniques, drawings, and models must be utilized that exhibit software performance characteristics. In the software industry, for example, people commonly call them quality assurance engineers. Quality engineering is the discipline of engineering that creates and implements strategies for quality assurance in product development and production as well as software development. However, MCDA methods typically do not make this assumption. Products should satisfy customer needs faster (time-to-market). You also provide support after the shipment by providing design enhancements. In other words, some problem-intrinsic constraints are not subject to trade-offs, and not fulfilling them cannot be compensated by any positive characteristic of the method, thus automatically disqualifying its use for the purpose of SQA. Elementary functions are labeled functional units and must be specified to support the structural design of the software product. Therefore, software quality decision makers must meet these assumptions in order for an MCDA method to provide a meaningful quality assessment. We use cookies to help provide and enhance our service and tailor content and ads.

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