Browsing by Author "Schneider, Kurt"

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    Catching up with Method and Process Practice: An Industry-Informed Baseline for Researchers
    (IEEE, 2019) Klunder, Jil; Hebig, Regina; Tell, Paolo; Kuhrmann, Marco; Nakatumba-Nabende, Joyce; Heldal, Rogardt; Prikladnickixv, Rafael; Tuzunxvi, Eray; Pfahlxvii, Dietmar; Schneider, Kurt; MacDonellxviii, Stephen G.
    Software development methods are usually not applied by the book. Companies are under pressure to continuously deploy software products that meet market needs and stakeholders’ requests. To implement efficient and effective development processes, companies utilize multiple frameworks, methods and practices, and combine these into hybrid methods. A common combination contains a rich management framework to organize and steer projects complemented with a number of smaller practices providing the development teams with tools to complete their tasks. In this paper, based on 732 data points collected through an international survey, we study the software development process use in practice. Our results show that 76.8% of the companies implement hybrid methods. Company size as well as the strategy in devising and evolving hybrid methods affect the suitability of the chosen process to reach company or project goals. Our findings show that companies that combine planned improvement programs with process evolution can increase their process’ suitability by up to 5%.
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    Quality Requirements in Agile as a Knowledge Management Problem: More than Just-in-Time
    (IEEE, 2017) Knauss, Eric; Liebel, Grischa; Schneider, Kurt; Horkoff, Jennifer; Kasauli, Rashidah
    Just-in-time (JIT) approaches have been suggested for managing non-functional requirements in agile projects. However, many non-functional requirements cannot be raised and met on the spot. In this position paper, we argue that effective JIT engineering of quality requirements depends on a solid foundation of long-term knowledge about all relevant quality requirements. We present two examples from projects related to safety and security and show that not all aspects of these quality requirements can be invented and changed just in time. Further, managing, for example, operationalization of quality requirements just in time depends on sufficient understanding of (i) customer value and (ii) the system under construction that must be shared by the engineering team. If a Learning Software Organization (LSO) intends to increase agility and speed up system development, it needs a holistic concept for managing this knowledge. We propose that a knowledgemanagement framework can facilitate JIT-RE by structuring, representing, and allowing updates of long-term knowledge about quality requirements. Such a knowledge-management framework should allow to map user value to system requirements and have important properties to allow JIT RE and sustainable evolution.