Q-Rapids and Quality Assurance in Rapid Software Development Processes

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Added on  2019/09/24

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This report delves into the realm of Rapid Software Development (RSD), emphasizing its role in adapting to dynamic environments through rapid development cycles and user feedback. It contrasts RSD with traditional waterfall methods, highlighting the importance of functioning software over rigid planning. The report addresses the challenges of maintaining quality in RSD, particularly the industry's lack of data-driven quality requirement approaches. It introduces Q-Rapids, a data-driven and quality-aware strategy designed to manage both quality and the RSD process effectively. The Q-Rapids framework integrates data collection, analysis, and continuous monitoring to facilitate informed decision-making, focusing on aspects of project success and balancing challenges like product quality and time management. The report emphasizes the need for a systematic approach to collect, analyze, and integrate data into the development process. The report concludes by summarizing the contribution of the study in the field of software development and considers the future research prospects in the subject matter.
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Introduction
In the given article the author discusses about the Agile Software Development that was
especially created to fulfil the requirements of the rapidly changing environment by accepting
the concept of rapid development and creating the actual final product. The given article is
about Rapid Software Development which can be described as a form of Agile Software
Development that highlights on functioning software and user feedback over inflexible
planning and requirement recording methods. Rapid Software Development does not use
waterfall methods for its development. In the given research article, the author has
summarized the state of art and challenges that are involved in maintaining the quality in the
Rapid Software Development process. The article also introduces Q-Rapids data driven and
quality aware Rapid Software Development strategy which manages quality as well as Rapid
Software Development process. The report finally summarizes the contribution of the study
in the field of software development and considers the future research prospects in the subject
matter.
Discussion
As the contemporary era is progressing towards technological advancements, global software
business organizations are bound to adapt in the fast changing environment. Working in a
fragile and ever changing environment, it has become for business organizations to work on a
total and comprehensive set of software requirements. However, it is literally impossible to
function for any traditional software model to work effectively. Traditional software models
like Waterfall Model which depends on largely identifying the necessities, planning and
testing of the software system are not efficient towards speedy software development
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processes. Therefore, the traditional software development processes fails to deliver the
desired results.
To solve this problem, Agile Software Development was introduced in the market. The Agile
Software Development is a time limited, iterative approach in delivery of the software that
creates software on a regular basis from the beginning of the project and does not deliver the
software at once. The process is slower in comparison to Rapid Software Development.
Challenges in managing quality requirements
The term quality can be defined as a complex phenomenon of meeting or exceeding customer
expectation regarding a product or service. In software development quality control and
management is a popular concept which is utilized to make certain that a product or service
maintains a certain value so that they can pass the test. In software development, neglecting
or avoiding quality management is regarded as one of the most expensive error which can
cost business loss for an organization. The article states that the industry lacks proper quality
requirement approaches so according to the author, the software development industry should
have a data driven quality requirement elicitation and design and secondly a data driven
knowledge of the tactical effect of quality requirement on the business.
Quality Requirements in Rapid Software Development
The article also discusses about the current scenario in regards to quality requirements in
Rapid Software Development. Rapid Software Development is the ability of developing,
releasing and learning from software in rapid cycles. According to the author, Rapid Software
Development is still driven by the functional requirement of the market. Quality control is a
popular method of quality management in software engineering process that does not deal
with the process of developing a product; rather it scrutinizes the quality of the final product.
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It main objective is to make sure that the product meets the terms and obligations of the end
user. If a certain problem arises during quality control, the product is resent for fixing the
problem before delivery of the final product. In software development industry, quality
control also assesses candidates on the level of skills and plans training and development to
meet the requirement of a certain role in the organization.
Rising software quality levels of software products needs a satisfactory combination of
quality requirements in software life cycle that is still less maintained in the fast changing
software development processes. The quality requirement generally focuses on customer
expectation as a main requirement and other factors like safety, performance of the software
and scalability of the software are neglected. To meet the quality requirement challenges,
process like automation, incorporating research and development with operations and
maintenance and customer satisfaction and grievances post delivery are introduced in the
research and development system. Yet, the post delivery data is still not free from glitches.
The author has mentioned how lack of tools and methods to tackle large data and information
is resulting in business loss in the software industry. According to the author, the quality
requirement of the software industry is to adopt a systematic approach to collect, analyze, and
integrate data and information into the product development process. Lastly, the author has
stated that the software development industry should have (10) a flawless incorporation of
quality requirement and functional requirement and (2) quality requirement needs a real time
system to monitor the process and (3) lastly the quality requirement and functional
requirement needs adoptive, iterative and vibrant workforce and management to proceed for
excellence.
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Data Driven Quality Decision Making
To recognize the quality issues and to create a robust development process to progress the
overall quality of Rapid Software Development, analytics needs to have better data and
information to make effective decisions. Analysing the different techniques that is utilized in
the industry, the author states that there is a need for on time, measurable and well-organized
quality requirement driven data analysis support system for better decision making. Also,
there is a need for measurable and proficient collection and scrutinizing of various data and
information during development as well as during runtime of the software.
Quality Rapids Frameworks
Quality Rapid Framework is the method that is to solve the gap in software industry
regarding research and testing of the software. It is a framework that facilitates business
organizations in making better decisions for organizational success. During software
development, it is very critical to maintain the quality of the product especially in situations
when the development is fast and rapid. Hence, to meet customer expectations, maintaining
and improving quality standards the quality rapids framework provides a process to meet the
challenges. In this Q rapids framework, the data and information collection in the process of
software development is flawless and continuous. This framework automatically and
continuously monitors the software quality on foundation of the quality related methods. The
framework combines various types of data sources in order to collect the appropriate
measurements about various aspects in the process. This data and information will be pre-
processed and analysed to facilitate in the decision making process in the organization.
The framework of Q rapids combines the quality requirement and functional requirement in
the software development process. This framework also considers process related controls
and domain specific rules and regulations. As a result, this enables a quality aware Rapid
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Software Development method that defines methods, tools and processes to be utilized in the
rapid development sequence and complex situations. The Q-Rapids focuses on the
accomplishment aspects and facilitates managers for better decision making and balance
challenges like product quality and time management. According to the author of the article,
Q-Rapids are a quality and novel approach towards quality control methods in software
industry.
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