TY - GEN

T1 - Quality requirements in agile as a knowledge management problem

T2 - 25th IEEE International Requirements Engineering Conference Workshops, REW 2017

AU - Knauss, Eric

AU - Liebel, Grischa

AU - Schneider, Kurt

AU - Horkoff, Jennifer

AU - Kasauli, Rashidah

N1 - Funding Information: Acknowledgments. We thank Francisco Gomes for his feedback and support. This work was supported by Software Center (RE for Large-Scale Agile System Dev. Project) and German DFG Priority Programme 1593 (Design for Future). Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2017/9/29

Y1 - 2017/9/29

N2 - 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 knowledge-management 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.

AB - 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 knowledge-management 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.

KW - Just-in-time RE

KW - Managing requirements knowledge

KW - Quality requirements

UR - http://www.scopus.com/inward/record.url?scp=85034637549&partnerID=8YFLogxK

U2 - 10.1109/REW.2017.35

DO - 10.1109/REW.2017.35

M3 - Conference contribution

AN - SCOPUS:85034637549

SP - 427

EP - 430

BT - Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 September 2017 through 8 September 2017

ER -