Hendrik Meth

Exploring principles of user-centered agile software development

ContextIn the last decade, software development has been characterized by two major approaches: agile software development, which aims to achieve increased velocity and flexibility during the development process, and user-centered design, which places the goals and needs of the systems end-users at the center of software development in order to deliver software with appropriate usability. Hybrid development models, referred to as user-centered agile software development (UCASD) in this article, propose to combine the merits of both approaches in order to design software that is both useful and usable. ObjectiveThis paper aims to capture the current state of the art in UCASD approaches and to derive generic principles from these approaches. More specifically, we investigate the following research question: Which principles constitute a user-centered agile software development approach? MethodWe conduct a systematic review of the literature on UCASD. Identified works are analyzed using a coding scheme that differentiates four levels of UCASD: the process, practices, people/social and technology dimensions. Through subsequent synthesis, we derive generic principles of UCASD. ResultsWe identified and analyzed 83 relevant publications. The analysis resulted in a comprehensive coding system and five principles for UCASD: (1) separate product discovery and product creation, (2) iterative and incremental design and development, (3) parallel interwoven creation tracks, (4) continuous stakeholder involvement, and (5) artifact-mediated communication. ConclusionOur paper contributes to the software development body of knowledge by (1) providing a broad overview of existing works in the area of UCASD, (2) deriving an analysis framework (in form a coding system) for works in this area, going beyond former classifications, and (3) identifying generic principles of UCASD and associating them with specific practices and processes.

The state of the art in automated requirements elicitation

Context: In large software development projects a huge number of unstructured text documents from various stakeholders becomes available and needs to be analyzed and transformed into structured requirements. This elicitation process is known to be time-consuming and error-prone when performed manually by a requirements engineer. Consequently, substantial research has been done to automate the process through a plethora of tools and technologies. Objective: This paper aims to capture the current state of automated requirements elicitation and derive future research directions by identifying gaps in the existing body of knowledge and through relating existing works to each other. More specifically, we are investigating the following research question: What is the state of the art in research covering tool support for automated requirements elicitation from natural language documents? Method: A systematic review of the literature in automated requirements elicitation is performed. Identified works are categorized using an analysis framework comprising tool categories, technological concepts and evaluation approaches. Furthermore, the identified papers are related to each other through citation analysis to trace the development of the research field. Results: We identified, categorized and related 36 relevant publications. Summarizing the observations we made, we propose future research to (1) investigate alternative elicitation paradigms going beyond a pure automation approach (2) compare the effects of different types of knowledge on elicitation results (3) apply comparative evaluation methods and multi-dimensional evaluation measures and (4) strive for a closer integration of research activities across the sub-fields of automatic requirements elicitation. Conclusion: Through the results of our paper, we intend to contribute to the Requirements Engineering body of knowledge by (1) conceptualizing an analysis framework for works in the area of automated requirements elicitation, going beyond former classifications (2) providing an extensive overview and categorization of existing works in this area (3) formulating concise directions for future research.

Software Usability in Small and Medium Sized Enterprises in Germany: An Empirical Study

Usability has become a competitive factor in the software industry. Specifically, the software industry in the United States has recognized this important factor and successfully leverages it for achieving competitive advantage. Compared to this fast development in the US, it seems questionable whether this view is also widespread among small and medium sized software producing and client companies in Germany and whether they direct sufficient attention to usability. This article presents the results of an empirical study exploring the status quo of the importance, the knowledge and the actual use of usability concepts among small and medium sized enterprises (SMEs) in Germany. Following an organizational field perspective, we investigate how interactions between actors in the software field influence the usability awareness as well as the knowledge and actual use of usability concepts. Based on the results of our study, we provide recommendations on how to increase awareness and maturity of software usability in SMEs in Germany.

Exploring design principles of task elicitation systems for unrestricted natural language documents

During the design of interactive systems, user tasks need to be identified within natural language documents (like interview transcripts, support messages or workshop memos) and be transformed into task models. This time-consuming and error-prone analysis process demands for automation, however corresponding software support is still sparse. This paper describes a Design Science Research project, which explores design principles for a system aiming to close this gap. To evaluate the principles, they are instantiated in an innovative artifact called REMINER which combines Information Retrieval, Natural Language Processing and Annotation technology. The artifact can be used to semi-automatically identify user tasks from unrestricted natural language documents and to organize them into task models. Results of two extensive evaluations of the artifact show, that it considerably addresses the underlying problem areas of this process.