scholarly journals Product Quality Evaluation Method (PQEM): To Understand the Evolution of Quality Through the Iterations of a Software Product

2021 ◽  
Vol 12 (5) ◽  
pp. 1-20
Author(s):  
Mariana Falco ◽  
Gabriela Robiolo
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
Product Life Cycle ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Quality Characteristic ◽  
Quality Level ◽  
Single Measure ◽  
Software Product ◽  
Agile Software

Promoting quality within the context of agile software development, it is extremely important as well as useful to improve not only the knowledge and decision-making of project managers, product owners, and quality assurance leaders but also to support the communication between teams. In this context, quality needs to be visible in a synthetic and intuitive way in order to facilitate the decision of accepting or rejecting each iteration within the software life cycle. This article introduces a novel solution called Product Quality Evaluation Method (PQEM) which can be used to evaluate a set of quality characteristics for each iteration within a software product life cycle. PQEM is based on the Goal-Question-Metric approach, the standard ISO/IEC 25010, and the extension made of testing coverage in order to obtain the quality coverage of each quality characteristic. The outcome of PQEM is a unique multidimensional value, that represents the quality level reached by each iteration of a product, as an aggregated measure. Even though a value it is not the regular idea of measuring quality, we believe that it can be useful to use this value to easily understand the quality level of each iteration. An illustrative example of the PQEM method was carried out with two iterations from a web and mobile application, within the healthcare environment. A single measure makes it possible to observe the evolution of the level of quality reached in the evolution of the product through the iterations.

scholarly journals Product Quality Evaluation Method (PQEM): A Comprehensive Approach for the Software Product Life Cycle

2021 ◽  
Author(s):  
Mariana Falco ◽  
Gabriela Robiolo
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
Product Life Cycle ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Project Managers ◽  
Quality Characteristic ◽  
Quality Level ◽  
A Value ◽  
Software Product

Project managers, product owners, and quality assurance leaders need to visualize and understand the entire picture of the development process as well as comprehend the product quality level, in a synthetic and intuitive way in order to facilitate the decision of accepting or rejecting each iteration within the software life cycle. This idea is extremely important nowadays, due to the fact that time is a key resource and it should be managed wisely to obtain a feasible quality level for each software deliverable. This article presents a novel solution called Product Quality Evaluation Method (PQEM) to evaluate a set of quality characteristics for each iteration of a software product. PQEM is based on the Goal-Question-Metric approach, the standard ISO/IEC 25010, and the extension made of testing coverage in order to obtain the quality coverage of each quality characteristic. The outcome of PQEM is a single value representing the quality per each iteration of a product, as an aggregated measure. Even though a value it is not the regular idea of measuring quality, we believe that it can be useful to use this value to understand easily the quality level of each iteration. An illustrative example of the method was carried out with a web and mobile application, within the healthcare environment.

Applying Life Cycle Six Sigma in Tolerance Design Methodology

2012 ◽  
Vol 443-444 ◽  
pp. 881-887
Author(s):  
Jian Jun Wu ◽  
Yi Zhen Wang
Keyword(s):  
Life Cycle ◽  
Six Sigma ◽  
Life Cycle Cost ◽  
Product Life Cycle ◽  
Quality Characteristic ◽  
Quality Level ◽  
Manufacturing Cost ◽  
Tolerance Design ◽  
Product Life ◽  
Sigma Level

Setting of tolerances to meet a required specification of quality characteristic and keep low manufacturing cost is one of common problems in the process quality control. But generally traditional tolerance design only focus on cost of manufacturing, few consider product Life Cycle Cost. In these situations, to obtain a satisfactory six sigma quality level as well as keep lower life cycle total cost should be considered. This paper expands tolerance optimization based on the manufacturing cost to the product life cycle cost, which can improve product quality to the six sigma level and keep lower LCC simultaneously.

Computable metrics of personal performance in software development teams

2019 ◽  
Author(s):  
Andriy Lishchytovych ◽  
Volodymyr Pavlenko
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Product Quality ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Project Manager ◽  
Development Life Cycle ◽  
Software Product ◽  
Software Development Life Cycle

The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.

scholarly journals Directions for Improving the Quality of Products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl»

2020 ◽  
Vol 10 (513) ◽  
pp. 197-203
Author(s):  
O. I. Garafonova ◽  
◽  
I. F. Nechai ◽  
Keyword(s):  
Product Quality ◽  
Product Life Cycle ◽  
Quality Parameters ◽  
Quality Level ◽  
Business Organization ◽  
High Quality ◽  
The World ◽  
Developing Directions ◽  
Quality Of Products

In the world, product quality has long been one of the major instruments for ensuring the economic development of companies. Achieving high quality parameters, in turn, is an important part of the economic strategy of any success-oriented business organization. The article is aimed at developing directions for improving products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The object of the research is the quality of beer produced by PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The assessment of the quality level of the selected product in accordance with the requirements of DSTU 3888:2015 was carried out using the following groups of indicators: microbiological, organoleptic and physic-chemical. The process of assessing the product quality parameters is presented, which consists of seven consecutive stages and is carried out throughout the product life cycle. The factors under the influence of which the quality of products are formed and which may cause deviation from the specified quality parameters are analyzed and structured. The defects that appear due to these factors have been identified. The basis for improving the quality of products is primarily a thorough study of changes in demand for the business organization products. Three groups of measures are singled out, with the help of which one can achieve the desired level of product quality, namely: technological, organizational and socio-economic. A complex of priority measures to improve the quality of products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl» is proposed. The element of scientific novelty is the development of an algorithm for the implementation of measures to improve the quality of products. During the implementation of measures to improve the quality, it is necessary to carry out systematic monitoring and generate reports on the implementation of the project in order to make possible an adjustment of the final result.

The Relationship between Advertising and Product Quality over the Product Life Cycle: A Contingency Theory

1988 ◽  
Vol 25 (1) ◽  
pp. 64-71 ◽  
Author(s):  
Gerard J. Tellis ◽  
Claes Fornell
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
Empirical Evidence ◽  
Product Life Cycle ◽  
Lower Cost ◽  
Empirical Test ◽  
Consumer Response ◽  
Product Life ◽  
Controversial Topic ◽  
The Relationship

The relationship between advertising and product quality has been a controversial topic in the literature because of conflicting empirical evidence and divergent theories about advertising's effects. The authors present an integrative theory based on consumer response to advertising and the costs of producing quality products. The theory posits that the relationship between advertising and quality is stronger when (1) quality is produced at lower cost and (2) consumers are less responsive to advertising. Such a scenario is more likely during the latter stages of the product life cycle. An empirical test supports this argument.

Community Customers

2011 ◽  
pp. 510-521 ◽  
Author(s):  
Jeroen Hoppenbrouwers
Keyword(s):  
Life Cycle ◽  
Open Source ◽  
Community Participation ◽  
Open Source Software ◽  
Product Life Cycle ◽  
Development Process ◽  
Sales Process ◽  
Software Product ◽  
Specific Community

This chapter discusses the role of the project/product community in the open source product life cycle. It outlines how a community-driven approach affects not only the development process, but also (and more importantly) the marketing/sales process, the deployment, the operation, and in general the resulting software product. Participation in the community is essential for any organization using the product, leading to the concept of a community customer. Specific community participation guidelines are given to organizations and individuals who deploy and use open source software, further develop it, or offer lifetime services on the product.

Research on Quality Evaluation System of Dynamic Alliance Based on Life-Cycle

2010 ◽  
Vol 97-101 ◽  
pp. 4355-4358 ◽  
Author(s):  
Shao Jie Zhang ◽  
Chun Li Yang
Keyword(s):  
Life Cycle ◽  
Evaluation System ◽  
Manufacturing Industry ◽  
Quality Evaluation ◽  
Quality Level ◽  
Multiple Factor Analysis ◽  
Dynamic Alliance ◽  
Factors Influencing ◽  
Exploratory Stage ◽  
Quality Evaluation System

Dynamic Alliance is becoming more and more important in manufacturing industry. Based on previous studies, a five-stage life-cycle of Dynamic Alliance is proposed in this paper. On the basis of life-cycle, taking into account both the entire life-cycle and each stage; the quality evaluation system was built. In this paper, the methods of Delphi and Multiple Factor Analysis were used to study the factors influencing the quality level at each stage, then quantitative conclusion was drew in the end. In addition, as the researches on Dynamic Alliance are still at the exploratory stage in manufacturing industry, this paper tries to provide references for further study.

scholarly journals Economic and Environmental Implications of Quality Choice under Remanufacturing Outsourcing

2020 ◽  
Vol 12 (3) ◽  
pp. 874 ◽  
Author(s):  
Wei He ◽  
Lan Liang ◽  
Kai Wang
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
New Products ◽  
Quality Level ◽  
Economic Perspective ◽  
Environmental Implications ◽  
Environmental Friendly ◽  
Quality Choice ◽  
Original Equipment Manufacturers ◽  
Environment Performance

Although many studies have recently investigated how the product quality impacts on economic and environment performance under remanufacturing, all of them assume that remanufacturing operations are undertaken by the original equipment manufacturers (OEMs) or independent remanufacturers (IRs). However, many OEMs such as Lexmark, Canon, and Epson filed lawsuits with those IRs without licensing, but outsourced the remanufacturing operations to several contracted remanufacturers (CRs). We therefore extend the prior research to investigate the economic and environmental implications of OEMs’ strategic desired quality level choices under remanufacturing outsourcing. That is, we develop two models corresponding to two scenarios where OEMs (1) undertake remanufacturing in-house or (2) outsource it to a CR. Our results show that, to create a less intense cannibalization problem for new products sales, OEMs would be likely to choose a lower product quality when outsourcing remanufacturing to a CR. More importantly, from the economic perspective, we find that outsourcing remanufacturing to a CR hurts the OEM and the industry. However, from the environmental angle, our results reveal that there is a ratio threshold for environmental impact for different life cycle phases, above which remanufacturing in-house is definitely beneficial for OEM in economics and environment, but for the rest, outsourcing is equally or more environmental-friendly, despite cutting down the profit.

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