Elicitation

2011

A requirement elicitation is a task that helps a customer to define what is required, and then worked out with great care and nicety of detail. This paper surveys and evaluates some methods for eliciting requirements of computer based systems, what are the categories of these methods, what are the problems that each method involves. the solution of one method leads us to the next method so these methods are interrelated with each other .to avoid problems in one method we need another method so we can say combination of different methods can be used to elicited specific requirements. The insufficient requirements engineering process forms one important factor that cause the failure of an IT project. We elaborate a comparison of requirements development methods, evaluation criteria and also identify common factors that affect the method selection. Requirements are elicited through consultation with stakeholders so it certainly seems simple enough, But isn't simple it is very hard.

Workshop on Engenharia de …, 2008

Requirements engineers can make use of a great many techniques to elicit user needs. However, there is no comprehensive practical guide on how to select the best techniques for a particular contextual situation within a software development project. We propose a framework to support developer decision making on which are the best elicitation techniques for the project at hand. Our framework identifies which elicitation technique responds better to certain project features.

2020

Requirement is one of the vital and obligatory attributes of any software project. Most of the software projects usually fail due to the wrong elicitation of the requirements. Requirement elicitation is the first pivotal step of a requirement engineering process, which aims to gather, uncover, acquire and elaborate requirements for software systems. In software development, requirements are a description of what the system must do or how it should behave. The process of requirement elicitation can be regarded as core activity of the whole Software Development life cycle. This research paper is aimed of reviewing all the existing, in use requirement elicitation techniques. This research article will help the requirement engineers to understand the characteristics and effectiveness of each technique and it will also serve as a recommendation in order to select a particular technique for a certain type of project.

Designing Digital Work, 2019

This chapter discusses the elicitation in work process design and its requirements on socio-technical support instruments. It provides the conceptual underpinnings of the articulation and alignment processes occurring during work process elicitation, drawing from different disciplines such as social psychology, cognitive sciences, knowledge management, and computer-supported collaborative work. We finally offer a theory-based synthesis of the concepts developed in these areas to inform and reflect on the methods' design in the following chapters. Although a thorough acquisition of work knowledge is almost never readily available for development, requirements can be identified on how information could be articulated and aligned for further processing, both, in terms of elicitation, and representation, as well as inherent conditions and support. Much of the adjacent methodological and technological requirements are not documented-they reside in the minds of experienced developers or stakeholders concerned with organizational design. Although requirements for system design need to be elicited or drawn out, the methodology on how to thoroughly identify the stakeholder capabilities, needs, risks, and assumptions associated with a given work setting, business, or project is unclear in most cases.

2019

This paper is about the elicitation methods for requirement collection. Requirements engineering initial step is the most key phase of the software development life cycle (SDLC). If the first step in conducted in wrong way the whole project may fall down. The elicitation techniques are used to eliminate the barriers in communication of the user and the requirement engineers. In this paper we examine the strategies connected to name the necessities. We attempt to know the flaws and plus points of these practices and come up to a convenient or suitable technique amongst them.

2019

It is often emphasized that the quality of elicited requirement is mostly influenced by the elicitation techniques employed to gather software requirements. Many elicitation techniques have been presented in requirement engineering but they are hardly adopted in practice as the available empirical and comparative evaluations are inadequate to guide the software industry on which technique is better. Classifying a selection of seven requirement elicitation techniques as collaborative, individual or contextual, this study compares the popular techniques using two groups of qualitative criteria - terms of information collection and quality of feedback information. The evaluation results are tabulated and the findings are depicted by spider diagrams. The study concludes that each technique has its strengths and weaknesses, the factors software engineers should weigh when selecting appropriate techniques for requirement elicitation.

2019

The quality of the requirement affects the work done in the later phases of the software development life cycle and, consequently, in the product. The requirements with poor quality increase the cost and the schedule of a project. Therefore, in recent years, different proposals have emerged on the elicitation of requirements. However, these investigations do not analyse how the activities contribute the elicitation process to obtain a "good requirement" and consequently, in the quality of the product of software. Because getting a quality requirement depends on all the activities of the elicitation process as a whole, 54 relationships between the activities and the qualities of a good requirement were identified in this paper, to know, which qualities must meet each activity. The relationships were obtained by analysing the qualities that each activity requires to obtain a “good requirement”. To demonstrate these relationships, an empirical study was conducted on 128 respo...

Journal of the Royal Statistical Society: Series D (The Statistician), 1998

As we sat down to lunch in the staff dining room at University College London about 30 years ago, Dennis Lindley introduced me to a distinguished looking gentleman who to my delight turned out to be Professor Pearson. My youthful enthusiasm for Bayesian statistics, kindled at the University of Michigan in the 1960s by Ward Edwards and Jimmy Savage, led us to discuss the dif®culty of obtaining a prior distribution. Professor Pearson gently explained that he could see no way of determining meaningful prior probabilities from the scientists with whom he had worked. The three papers presented today all say,`Yes, Professor Pearson, it can be done'. However, the authors are providing perspectives that are very different from those of 30 years ago. First, the papers go beyond exploiting the properties of vague prior opinion to justify using non-informative priors, as in the principle of stable estimation (Edwards et al., 1963). For these examples, prior opinion is not vague and it matters. Second, the key question is not how to assess prior opinion, as O'Hagan recognizes; the more general issue is how to obtain meaningful and useful representations of expert uncertainty expressed in probabilistic form. That could apply to priors, likelihoods, posteriors, predictions or indeed any uncertainties. Third, as human beings, experts naturally experience uncertainty as a feeling, not as a numerical probability, so a good elicitation process helps the experts to learn what numbers are appropriate representations of their feelings and minimizes the biases summarized by Kadane and Wolfson. Fourth, we have access to computing power that can reduce the complexities of elicitation and make consistency checking an easy task, as is demonstrated to excellent effect by the University of Durham authors, as well as the others. Finally, all the authors make it clear that the process of assessing expert uncertainty deserves careful attention, in my view at least as much care as is devoted to the design of experiments. Most of us can distinguish a well-designed experiment from a poor one. But would we agree on criteria for judging the acceptability of an elicitation process? These papers suggest several criteria, which I shall summarize, supplemented by my own experience. The most important consideration is that proper elicitation is a sociotechnical process, as demonstrated in the early handbook by Stae Èl von Holstein and Matheson (1979). The interaction between assessor and expert(s) requires careful handling of both social and technical issues at each of the following three main stages in the assessment process.

Requirement Elicitation is also called as Requirement Gathering, in which requirements are collected from User, Stakeholders, and Customer to build the system. Requirements elicitation practices include interviews, questionnaires, task analysis, domain analysis, user observation, workshops, brainstorming, use cases, role playing and prototyping by using this practices quality of the requirements are satisfied. A wide variety of tools exist that have been developed and used to support requirements elicitation.