ABSTRACT
Using qualitative methods and a qualitative analytical framework, it was found that communication and cooperation are the critical factors in developing large-scale software systems. Given the importance of this observation, it is perhaps surprising that research publications using qualitative methods are still scarce. Therefore, my goal in creating this paper is to make existing qualitative methods more visible and further the understanding of qualitative research and its importance in the software engineering community. This paper presents several qualitative methods for data collection and analysis and describes them in terms of how they might be incorporated into empirical studies of software engineering, in particular how
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For various reasons, systematic empirical studies employing strictly scientific methods are hardly practiced in software engineering. Thus there is an unquestioned need for developing improved and better-qualified empirical methods, for their application in practice and for dissemination of the results. e.g., for planning, performing, analyzing, and reporting such studies. A range of research approaches can generate different and richer information about a complex phenomenon such as software development. In particular, qualitative research methods have been advocated in this regard, although they still occupy a relatively marginal position in software engineering research compared to quantitative methods.
The reason that qualitative methods are used so infrequently in software engineering lies in its foundations as a scientific and engineering discipline. An inherited technical interest in improving practice is associated with a preference for quantitative research approaches that lend themselves to measuring causal relationships for successful software process improvement. However, studying software engineering is a complex undertaking not just because of its technical aspects, but also “from the awkward intersection of machine and human capabilities, and from the central role of human behavior in software development” (Seaman 1999, p.557).
Redesigning the software development process in an effective way helps in solving many problems. Upon asking question about when exactly the redesign is needed, it is quite obvious that in certain conditions where the involvement by the team and the management is sincere yet the difficulties exist and continue to increase even after a good effort on the particular problem. This has been the same situation in the Jharna Software where the company is privileged with good staff yet they face the problem in the integration stage and also they face difficulty with the suggestions or the changes by the customer on their requirement at later stages.
Useful early in specification for obtaining qualitative data. This method is an alternative (non-involving) version of Contextual Inquiry. It is useful for studying currently executed tasks and processes. It has been extensively
Roger S. Pressman, Ph.D. SOFTWARE ENGINEERING A Practitioner’s Approach, McGraw-Hill, an imprint of The McGraw-Hill Companies, Inc. Americas, New York, NY -10020, 2001.
Software development needs to be analysed and examined internally, and also to prevent any threats to our information the business should ensure the
As the world became more and more dependent on technology with each passing day, software automatically became an important organ for development. Since software is needed almost everywhere today, its development is a highly intelligent and precise process, involving various steps. Known as software development life cycle, these steps include planning, analysis, design, development & implementation, testing and maintenance. These steps go on to create the perfect software for clients. ”
Purpose of this assignment: To demonstrate understanding of principles of software design, in relation to specific programming scenarios, and how these principles relate to the software development life cycle.
One of the initial steps in researching a problem is to know exactly what the problem is and compose a problem statement that unambiguously identifies and defines the problem to research. Sekaran (2003) said, “No amount of good research can find solutions to the situation, if the critical issue or the problem to be studied is not clearly pinpointed” (p. 69). The area of research for this paper focuses on software development, in particular, the study of agile software development methodologies and if these methodologies are successful in delivering software on time, within budget, and includes the requested features.
It has been observed that in software development, change is unavoidable and must be accommodated for in the life cycle. A number of alternative process models have been introduced in order to attempt to fix the issues in the Waterfall model. An early modification to the standard Waterfall method introduced prototyping as a feedback and discovery mechanism to identify misunderstandings and omissions early on in the process (Neill, 2004). Other process models attempted to further get rid of the risks of misunderstandings by breaking down projects
Please answer all questions, meeting the minimum word count. Do not copy and paste anything, all words need to be typed by your own fingers.
2. Illustrate the three main outcomes of quality control using examples from real or fictionally projects that follow a software development lifecycle.
Over the past 10 years, researchers have offered improved interest towards social aspects of software application engineering, equally to test ideas concerning to software development
Although information systems research has long recognized the crucial role of user participation in developing better software, researchers have overlooked temporal dimension and dynamism associated with participation. This study contributes a new scholarly conversation on the longitudinal processes around how users influence software development in dynamic ways and how software organizations enable them to do so. Using a multi-year qualitative inquiry, we develop an evolutionary approach that theorizes user participation roles at different stages of development with three concepts of ‘inheritance’, ‘modification’, and ‘survival’. The evolutionary approach unpacks how user participation roles are rooted deeply in the ‘repetitive experience’ and the ‘co-evolution of developers and users’ over time. The results suggest software organizations should devote attention to the changing roles of user participation at different stages of development and design appropriate processes to support these roles. We discuss the important implications of evolutionary approach for theories of participation and engagement and for software organizations attempting to operate in the uncertain and rapidly changing context of software development.
Over the past 10 years, researchers have offered improved interest towards social aspects of software application engineering, equally to test ideas concerning to software development (Ex: socio-technical) and to generate resources to boost practice (Ex: team awareness tools). We can find inspiration pertaining to additional understanding within the organizational technology, which has extended researched, the actual social aspects associated with exactly how teams perform the job. Implementing one particular model, the software development life cycle can be observed as, software engineers first organize into teams (forming), come to agreement about their goals(storming), choosing and implementing their software methodology and engineering process(norming), collaborating and coordinating with another to create a product (performing), and finally reflecting on their failure and success (adjourning).
There are different methodologies on the Software Development Lifecycle, including the Waterfall Method and the Star Method. Some user-centered design approaches such as the participatory design and the star lifecycle, focus on including users in all phases of design. (Preece, Rogers, Sharp, Benyon, Holland, & Carey, 1994) In participatory design, users become members of the actual development team. In the star lifecycle, users get to evaluate each stage of development. (Lazar, 2011)