Quality-aware model-driven service engineering

Service engineering and service-oriented architecture as an integration and platform technology is a recent approach to software systems integration. Quality aspects ranging from interoperability to maintainability to performance are of central importance for the integration of heterogeneous, distributed service-based systems. Architecture models can substantially influence quality attributes of the implemented software systems. Besides the benefits of explicit architectures on maintainability and reuse, architectural constraints such as styles, reference architectures and architectural patterns can influence observable software properties such as performance. Empirical performance evaluation is a process of measuring and evaluating the performance of implemented software. We present an approach for addressing the quality of services and service-based systems at the model-level in the context of model-driven service engineering. The focus on architecture-level models is a consequence of the black-box character of services

Qualitative software engineering research -- reflections and guidelines

Researchers are increasingly recognizing the importance of human aspects in software development and since qualitative methods are used to, in-depth, explore human behavior, we believe that studies using such techniques will become more common. Existing qualitative software engineering guidelines do not cover the full breadth of qualitative methods and knowledge on using them found in the social sciences. The aim of this study was thus to extend the software engineering research community's current body of knowledge regarding available qualitative methods and provide recommendations and guidelines for their use. With the support of an epistemological argument and a literature review, we suggest that future research would benefit from (1) utilizing a broader set of research methods, (2) more strongly emphasizing reflexivity, and (3) employing qualitative guidelines and quality criteria. We present an overview of three qualitative methods commonly used in social sciences but rarely seen in software engineering research, namely interpretative phenomenological analysis, narrative analysis, and discourse analysis. Furthermore, we discuss the meaning of reflexivity in relation to the software engineering context and suggest means of fostering it. Our paper will help software engineering researchers better select and then guide the application of a broader set of qualitative research methods.Comment: 30 page

Systematic development of courseware systems

Various difficulties have been reported in relation to the development of courseware systems. A central problem is to address the needs of not only the learner, but also instructor, developer, and other stakeholders, and to integrate these different needs. Another problem area is courseware architectures, to which much work has been dedicated recently. We present a systematic approach to courseware development – a methodology for courseware engineering – that addresses these problems. This methodology is rooted in the educational domain and is based on methods for software development in this context. We illustrate how this methodology can improve the quality of courseware systems and the development process

Knowledge Transfer Quality Improvement - The Quality Enhancement of Knowledge Transfers in Product Engineering

Developing a new product generation requires the transfer of knowledge among various knowledge carriers. Several factors influence knowledge transfer, e.g., the complexity of engineering tasks or the competence of employees, which can decrease the efficiency and effectiveness of knowledge transfers in product engineering. Hence, improving those knowledge transfers obtains great potential, especially against the backdrop of experienced employees leaving the company due to retirement, so far, research results show, that the knowledge transfer velocity can be raised by following the Knowledge Transfer Velocity Model and implementing so-called interventions in a product engineering context. In most cases, the implemented interventions have a positive effect on knowledge transfer speed improvement. In addition to that, initial theoretical findings describe factors influencing the quality of knowledge transfers and outline a setting to empirically investigate how the quality can be improved by introducing a general description of knowledge transfer reference situations and principles to measure the quality of knowledge artifacts. To assess the quality of knowledge transfers in a product engineering context, the Knowledge Transfer Quality Model (KTQM) is created, which serves as a basis to develop and implement quality-dependent interventions for different knowledge transfer situations. As a result, this paper introduces the specifications of eight situation-adequate interventions to improve the quality of knowledge transfers in product engineering following an intervention template. Those interventions are intended to be implemented in an industrial setting to measure the quality of knowledge transfers and validate their effect

A Web-based process and process models to find and deliver information to improve the quality of flight software

Aerospace systems demand high-quality software engineering processes to deliver high quality products. Although most aerospace organizations have high-quality processes, many of these processes fail to deliver to the engineer the organization\u27s wealth of information and experience - information and experience that can further contribute to the quality of software products and engineering processes. In this paper, we present an interactive, web-based process support tool that delivers the information in a flight software engineering process as well as associated standards, lessons learned, and background information. The tool is based on an underlying formal model of the software engineering process activities and artifacts. This underlying model provides a semantic basis for context-based search and for reasoning about the engineering process. The result is an information portal to search for and deliver process and project-specific information to support the development of flight software

Gamification for Volunteer Cloud Computing.

Requirements engineering is a preliminary and cru- cial phase for the correctness and quality of software systems. Despite the agreement on the positive correlation between user involvement in requirements engineering and software success, current development methods employ a too narrow concept of that “user” and rely on a recruited set of users considered to be representative. Such approaches might not cater for the diversity and dynamism of the actual users and the context of software usage. This is especially true in new paradigms such as cloud and mobile computing. To overcome these limitations, we propose crowd-centric requirements engineering (CCRE) as a revised method for requirements engineering where users become primary contributors, resulting in higher-quality requirements and increased user satisfaction. CCRE relies on crowdsourcing to support a broader user involvement, and on gamification to motivate that voluntary involvement