Agile Software Methods

2011 ◽  
pp. 1-22 ◽  
Author(s):  
E. Mnkandla ◽  
B. Dwolatzky
Keyword(s):  
Quality Assurance ◽  
Software Development ◽  
Software Quality ◽  
State Of The Art ◽  
Software Quality Assurance ◽  
Analysis Framework ◽  
Software Developers ◽  
Agile Methodologies ◽  
The World ◽  
Agile Software

This chapter is aimed at comprehensively analyzing and defining agile methodologies of software development from a software quality assurance perspective. A unique way of analyzing agile methodologies to reveal the similarities that the authors of the methods never tell you is introduced. The chapter starts by defining agile methodologies from three perspectives: a theoretical definition, a functional definition, and a contextualized definition. Then an agile quality assurance perspective is presented starting from a brief review of some of the traditional understandings of quality assurance to the innovations that agility has added to the world of quality. The presented analysis approach opens a window into an understanding of the state-of-the-art in agile methodologies and quality, and what the future could have in store for software developers. An understanding of the analysis framework for objectively analyzing and comparing agile methodologies is illustrated by applying it to three specific agile methodologies.

Agile Software Methods

2009 ◽  
pp. 3272-3293
Author(s):  
Ernest Mnkandla ◽  
Barry Dwolatzky
Keyword(s):  
Quality Assurance ◽  
Software Development ◽  
Software Quality ◽  
State Of The Art ◽  
Software Quality Assurance ◽  
Analysis Framework ◽  
Software Developers ◽  
Agile Methodologies ◽  
The World ◽  
Agile Software

This chapter is aimed at comprehensively analyzing and defining agile methodologies of software development from a software quality assurance perspective. A unique way of analyzing agile methodologies to reveal the similarities that the authors of the methods never tell you is introduced. The chapter starts by defining agile methodologies from three perspectives: a theoretical definition, a functional definition, and a contextualized definition. Then an agile quality assurance perspective is presented starting from a brief review of some of the traditional understandings of quality assurance to the innovations that agility has added to the world of quality. The presented analysis approach opens a window into an understanding of the state-of-the-art in agile methodologies and quality, and what the future could have in store for software developers. An understanding of the analysis framework for objectively analyzing and comparing agile methodologies is illustrated by applying it to three specific agile methodologies.

Quality Assurance in Agile Software Development

2014 ◽  
pp. 155-176 ◽  
Author(s):  
Iwona Dubielewicz ◽  
Bogumila Hnatkowska ◽  
Zbigniew Huzar ◽  
Lech Tuzinkiewicz
Keyword(s):  
Quality Assurance ◽  
Life Cycle ◽  
Best Practices ◽  
Software Development ◽  
Software Quality ◽  
Agile Software Development ◽  
Software Life Cycle ◽  
Agile Methodologies ◽  
Agile Practices ◽  
Agile Software

Agile methodologies have become very popular. They are defined in terms of best practices, which aim at developing good quality software faster and cheaper. Unfortunately, agile methodologies do not refer explicitly to quality assurance, which is understood as a planned set of activities performed to provide adequate confidence that a product conforms to established requirements, and which is performed to evaluate the process by which products are developed. The chapter considers the relations of agile practices with software life cycle processes, especially those connected to quality assurance, and tries to answer the question of which agile practices ensure software quality. Next, agile practices associated with quality assurance are assessed from different perspectives and some recommendations for their usage are given. It is observed that modeling has a particular impact on quality assurance.

Quality Assurance in Agile Software Development

2018 ◽  
pp. 837-859
Author(s):  
Iwona Dubielewicz ◽  
Bogumiła Hnatkowska ◽  
Zbigniew Huzar ◽  
Lech Tuzinkiewicz
Keyword(s):  
Quality Assurance ◽  
Life Cycle ◽  
Best Practices ◽  
Software Development ◽  
Software Quality ◽  
Agile Software Development ◽  
Software Life Cycle ◽  
Agile Methodologies ◽  
Agile Practices ◽  
Agile Software

Agile methodologies have become very popular. They are defined in terms of best practices, which aim at developing good quality software faster and cheaper. Unfortunately, agile methodologies do not refer explicitly to quality assurance, which is understood as a planned set of activities performed to provide adequate confidence that a product conforms to established requirements, and which is performed to evaluate the process by which products are developed. The chapter considers the relations of agile practices with software life cycle processes, especially those connected to quality assurance, and tries to answer the question of which agile practices ensure software quality. Next, agile practices associated with quality assurance are assessed from different perspectives and some recommendations for their usage are given. It is observed that modeling has a particular impact on quality assurance.

Transitioning from Code-Centric to Model-Driven Industrial Projects

2009 ◽  
pp. 236-262 ◽  
Author(s):  
Miroslaw Staron
Keyword(s):  
Quality Assurance ◽  
Software Development ◽  
Software Quality ◽  
Software Quality Assurance ◽  
Field Development ◽  
Model Driven ◽  
Domain Specific ◽  
Model Driven Software Development ◽  
Industrial Projects ◽  
New Challenges

Introducing Model Driven Software Development (MDSD) into industrial projects is rarely done as a “green field” development. The usual path is to make a transition from code-centric (CC) development in existing projects into MDSD in a step-wise manner. Similarly to all other software development activities; software quality assurance needs to be adjusted to meet the new challenges arising when using models instead of the code for the mainstream development. In this chapter we present a set of empirical data on the issues related to transitioning from CC to MDSD projects in industry. First; we present results from a set of experiments evaluating how a domain specific notation affects the effectiveness and efficiency of reading techniques used for inspecting models. Second; we present a comparison of productivity increase when changing to MDSD projects from one of the large Swedish companies. Finally we present a short survey on the prioritization of products; projects; and resource metrics in MDSD projects.

Teaching Agile Software Development Quality Assurance

2009 ◽  
pp. 2700-2713
Author(s):  
Orit Hazzan ◽  
Yael Dubinsky
Keyword(s):  
Quality Assurance ◽  
Software Engineering ◽  
Software Development ◽  
Software Quality ◽  
Agile Software Development ◽  
Specific Teaching ◽  
Quality Issues ◽  
Agile Software ◽  
Software Development Environments ◽  
The Way

This chapter presents a teaching framework for agile quality—that is, the way quality issues are perceived in agile software development environments. The teaching framework consists of nine principles, the actual implementation of which is varied and should be adjusted for different specific teaching environments. This chapter outlines the principles and addresses their contribution to learners’ understanding of agile quality. In addition, we highlight some of the differences between agile software development and plan-driven software development in general, and with respect to software quality in particular. This chapter provides a framework to be used by software engineering instructors who wish to base students learning on students’ experiences of the different aspects involved in software development environments.

scholarly journals Quality Practitioners’ Differing Perspectives on Future Software Quality Assurance Practices

2021 ◽  
Vol 15 (24) ◽  
pp. 134-154
Author(s):  
Altti Lagstedt ◽  
Amir Dirin ◽  
Päivi Williams
Keyword(s):  
Quality Assurance ◽  
Software Development ◽  
Software Quality ◽  
Software Quality Assurance ◽  
Future Trends ◽  
Allocation Of Resources ◽  
Business Context ◽  
Management Evaluation ◽  
N 93 ◽  
Quality Categories

Constant changes in a business context and software development make it important to understand how software quality assurance (SQA) should respond. Examining SQA from supplier and client perspectives, this study explores how different groups of SQA practitioners perceive future needs. A survey (n = 93) conducted in fall 2017 explored the views of SQA organizations on future trends. The results indicate that SQA organizations differ slightly in their attitudes to quality categories, as do different groups of SQA practitioners. It is argued that these differences should be taken into account when developing and implementing future SQA strategy. It is further argued that the found basic enables SQA management, evaluation of new practices, and allocation of resources to ensure that all quality categories remain balanced in the future.

scholarly journals Open Device Labs as a strategy to enhance the undergraduate and postgraduate student learning experience of software quality assurance and usability for mobile devices

Obra digital ◽  
2019 ◽  
pp. 135-150
Author(s):  
Claire Horgan
Keyword(s):  
Quality Assurance ◽  
Student Learning ◽  
Software Quality ◽  
Learning Experience ◽  
Software Quality Assurance ◽  
Postgraduate Student ◽  
Software Developers ◽  
Educational Perspective ◽  
Institute Of Technology ◽  
Enhance Student Learning

Open Device Labs (ODL) are a resource where users can test their applications on a growing range of internet-connected devices. Quality assurance across real devices is vital to ensure a pleasant user experience. From an educational perspective the Tralee Institute of Technology goal is to provide students with the skills they need to become competent software developers. They should have an appreciation of the end users' experience. This papers looks at using an ODL to enhance student learning of quality assurance and usability.  

Teaching Agile Software Development Quality Assurance

2011 ◽  
pp. 171-184 ◽  
Author(s):  
O. Hazzan
Keyword(s):  
Quality Assurance ◽  
Software Engineering ◽  
Software Development ◽  
Software Quality ◽  
Agile Software Development ◽  
Specific Teaching ◽  
Quality Issues ◽  
Agile Software ◽  
Software Development Environments ◽  
The Way

This chapter presents a teaching framework for agile quality—that is, the way quality issues are perceived in agile software development environments. The teaching framework consists of nine principles, the actual implementation of which is varied and should be adjusted for different specific teaching environments. This chapter outlines the principles and addresses their contribution to learners’ understanding of agile quality. In addition, we highlight some of the differences between agile software development and plan-driven software development in general, and with respect to software quality in particular. This chapter provides a framework to be used by software engineering instructors who wish to base students learning on students’ experiences of the different aspects involved in software development environments.

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