Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 427-430 |
| Number of pages | 4 |
| ISBN (electronic) | 9781538634882 |
| Publication status | Published - 29 Sept 2017 |
| Event | 25th IEEE International Requirements Engineering Conference Workshops, REW 2017 - Lisbon, Portugal Duration: 4 Sept 2017 → 8 Sept 2017 |
Abstract
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.
Keywords
- Just-in-time RE, Managing requirements knowledge, Quality requirements
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Human-Computer Interaction
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
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Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 427-430 8054890.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
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 -