<i>Trace++</i>: A Traceability Approach for Agile Software Engineering

Agile methodologies have been introduced as an alternative to traditional software engineering methodologies. However, despite the advantages of using agile methodologies, the transition between traditional and agile methodologies is not an easy task. There are several problems associated with the use of agile methodologies. Examples of these problems are related to (i) lack of metrics to measure the amount of rework that occurs per sprint, (ii) interruption of a project after several iterations, (iii) changes in the requirements, (iv) lack of documentation, and (v) lack of management control. In this paper we present Trace++, a traceability technique that extends traditional traceability relationships with extra information in order to support the transition between traditional and agile software development. The use of Trace++ has been evaluated in two real projects of different software development companies to measure the benefits of using Trace++ to support agile software development

Complementing Measurements and Real Options Concepts to Support Inter-iteration Decision-Making in Agile Projects

Agile software projects are characterized by iterative and incremental development, accommodation of changes and active customer participation. The process is driven by creating business value for the client, assuming that the client (i) is aware of it, and (ii) is capable to estimate the business value, associated with the separate features of the system to be implemented. This paper is focused on the complementary use of measurement techniques and concepts of real-option-analysis to assist clients in assessing and comparing alternative sets of requirements. Our overall objective is to provide systematic support to clients for the decision-making process on what to implement in each iteration. The design of our approach is justified by using empirical data, published earlier by other authors

Identifying Agile Requirements Engineering Patterns in Industry

Agile Software Development (ASD) is gaining in popularity in today´s business world. Industry is adopting agile methodologies both to accelerate value delivery and to enhance the ability to deal with changing requirements. However, ASD has a great impact on how Requirements Engineering (RE) is carried out in agile environments. The integration of Human-Centered Design (HCD) plays an important role due to the focus on user and stakeholder involvement. To this end, we aim to introduce agile RE patterns as main objective of this paper. On the one hand, we will describe our pattern mining process based on empirical research in literature and industry. On the other hand, we will discuss our results and provide two examples of agile RE patterns. In sum, the pattern mining process identifies 41 agile RE patterns. The accumulated knowledge will be shared by means of a web application.Ministerio de Economía y Competitividad TIN2013-46928-C3-3-RMinisterio de Economía y Competitividad TIN2016-76956-C3-2-RMinisterio de Economía y Competitividad TIN2015-71938-RED

Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts

This Innovative Practice Full Paper presents an approach of using software development artifacts to gauge student behavior and the effectiveness of changes to curriculum design. There is an ongoing need to adapt university courses to changing requirements and shifts in industry. As an educator it is therefore vital to have access to methods, with which to ascertain the effects of curriculum design changes. In this paper, we present our approach of analyzing software repositories in order to gauge student behavior during project work. We evaluate this approach in a case study of a university undergraduate software development course teaching agile development methodologies. Surveys revealed positive attitudes towards the course and the change of employed development methodology from Scrum to Kanban. However, surveys were not usable to ascertain the degree to which students had adapted their workflows and whether they had done so in accordance with course goals. Therefore, we analyzed students' software repository data, which represents information that can be collected by educators to reveal insights into learning successes and detailed student behavior. We analyze the software repositories created during the last five courses, and evaluate differences in workflows between Kanban and Scrum usage

Applying XP Ideas Formally: The Story Card and Extreme X-Machines

By gathering requirements on story cards extreme programming (XP) makes requirements collection easy. However it is less clear how the story cards are translated into a �finished product. We propose that a formal specification method based on X-Machines can be used to direct this transition. Extreme X-Machines �t in to the XP method well, without large overheads in design and maintenance. We also investigate how such machines adapt to change in the story cards and propose how this could be further enhanced