Lorentz Center 21th September - Modelling Requirements

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The use of models for or during requirements engineering (RE) has been suggested to increase productivity and tackle increasing complexity by means of abstraction. Existing modelling frameworks often prescribe a variety of different, formal models for RE, trying to maximise the benefit obtained from model-based engineering (MBE). As an alternative, we have in previous work described how existing requirements, be it textual or in the form of a graphical model, and the connection between these requirements and other artefacts can also be understood as a “requirements model”. We also demonstrated how such a model can be constructed from real-world data in order to support communication and coordination among diverse stakeholders, including software and systems engineers. In this talk, I will discuss this previous work and try to connect it to the workshop theme by motivating a similar approach for data analytics.

Software

Grischa Liebel
grischa@chalmers.se
(grischa.liebel@gmail.com)
Modelling your Requirements for
Communication, Coordination
(and Analytics)

9/21/18 Chalmers 6
Agenda
• What?
• Why?
• Connection to the WS?

9/21/18 Chalmers 7
• Lack of Interdisciplinary Understanding
• Insufficient Communication and Feedback Channels
• Unclear Responsibilities and Borders
(Liebel et al., “Organisation and communication problems in automotive
requirements engineering”, Requirements Engineering 23 (1), 145–167, 2018)
RE Problems

9/21/18 Chalmers 8
• Use model-based systems engineering data (traces and person
information) to create and visualise coordination networks.
“Use the project memory” – Herbsleb
Idea
Req 1
(Peter)
Issue X
(Lisa)
HW Design
(Alice)
Issue Y
(Alice)
Peter
Lisa
Alice2
1
1
We are not modelling the
requirements
-
we interpret existing
requirements as a model!

9/21/18 Chalmers 9
• Not restricted to Software Engineering
• Clarification, no elicitation
(i.e., mainly company internal)
• People authoring reqs/design have the knowledge
“An engineer is trying to find experts for clarification of requirements or design”
Main Use Case

9/21/18 Chalmers 10
• Design science, three cycles
• At Volvo Trucks
• Mainly with one tool (SystemWeaver)
• Proposal for improvements wrt. interoperability, design
• 15 interviews, several focus groups, survey
• Concerns:
• Possible?
• Useful?
• General?
Method
• Information management solution
• Everything in a single model
• Flexible meta model
• Entities and relationships

9/21/18 Chalmers 12
• Yes!
• Social data needs to exist and be up-to-date
• (Pre-GDPR)
Possible?
Systems Engineering
Models
(e.g. Requirements, Design)
Social Models

9/21/18 Chalmers 13
• Practitioners see potential:
• For “new” employees
• For spotting isolated nodes (people)
• For additional use cases (e.g., team composition)
• Awareness!
• Ethical issues
• Blame
• Performance evaluation
Useful?

9/21/18 Chalmers 14
• Implemented adapters to the OSLC standard
• Tool interoperability for a variety of domains
(e.g., requirements mgmt, change mgmt)
• Evaluated based on IBM Jazz data and an industrial survey
• (Customised version of Gephi)
• (Open source on GitHub)
Follow-up study
General?

9/21/18 Chalmers 15
• Early communication regarding requirements
(vs. development-specific discussions)
• Little data (requirements)
(vs. lots of data (code, tests))
• Mirror of the actual data (there is value in "wrong" nodes)
(vs. abstraction)
• Multi-disciplinary approach
(vs. single-discipline tool)
Why?

9/21/18 Chalmers 16
Connection to the Workshop?
• ”Big Software”
• Lots of stakeholders
• Across organisations
• Across interfaces/systems
• Statistical methods, AI, ML, etc., are needed to handle large
amounts of data
• But: How about models on a high level of abstraction?
• Requirements level
• Interfaces between organisations
• Inform human decisions

9/21/18 Chalmers 17
Req 1
(Peter)
Issue X
(Lisa)
HW Design
(Alice)
Issue Y
(Alice)
Peter
Lisa
Alice2
1
1
- Useful for several use
cases
- Data quality is an issue
- Potential ethical issues
Collaboration?
grischa.liebel@gmail.com

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Lorentz Center 21th September - Modelling Requirements

1. Grischa Liebel grischa@chalmers.se (grischa.liebel@gmail.com) Modelling your Requirements for Communication, Coordination (and Analytics)

2. 9/21/18 Chalmers 2

3. 9/21/18 Chalmers 3

4. 9/21/18 Chalmers 4

5. 9/21/18 Chalmers 5

6. 9/21/18 Chalmers 6 Agenda • What? • Why? • Connection to the WS?

7. 9/21/18 Chalmers 7 • Lack of Interdisciplinary Understanding • Insufficient Communication and Feedback Channels • Unclear Responsibilities and Borders (Liebel et al., “Organisation and communication problems in automotive requirements engineering”, Requirements Engineering 23 (1), 145–167, 2018) RE Problems

8. 9/21/18 Chalmers 8 • Use model-based systems engineering data (traces and person information) to create and visualise coordination networks. “Use the project memory” – Herbsleb Idea Req 1 (Peter) Issue X (Lisa) HW Design (Alice) Issue Y (Alice) Peter Lisa Alice2 1 1 We are not modelling the requirements - we interpret existing requirements as a model!

9. 9/21/18 Chalmers 9 • Not restricted to Software Engineering • Clarification, no elicitation (i.e., mainly company internal) • People authoring reqs/design have the knowledge “An engineer is trying to find experts for clarification of requirements or design” Main Use Case

10. 9/21/18 Chalmers 10 • Design science, three cycles • At Volvo Trucks • Mainly with one tool (SystemWeaver) • Proposal for improvements wrt. interoperability, design • 15 interviews, several focus groups, survey • Concerns: • Possible? • Useful? • General? Method • Information management solution • Everything in a single model • Flexible meta model • Entities and relationships

11. 9/21/18 Chalmers 11

12. 9/21/18 Chalmers 12 • Yes! • Social data needs to exist and be up-to-date • (Pre-GDPR) Possible? Systems Engineering Models (e.g. Requirements, Design) Social Models

13. 9/21/18 Chalmers 13 • Practitioners see potential: • For “new” employees • For spotting isolated nodes (people) • For additional use cases (e.g., team composition) • Awareness! • Ethical issues • Blame • Performance evaluation Useful?

14. 9/21/18 Chalmers 14 • Implemented adapters to the OSLC standard • Tool interoperability for a variety of domains (e.g., requirements mgmt, change mgmt) • Evaluated based on IBM Jazz data and an industrial survey • (Customised version of Gephi) • (Open source on GitHub) Follow-up study General?

15. 9/21/18 Chalmers 15 • Early communication regarding requirements (vs. development-specific discussions) • Little data (requirements) (vs. lots of data (code, tests)) • Mirror of the actual data (there is value in "wrong" nodes) (vs. abstraction) • Multi-disciplinary approach (vs. single-discipline tool) Why?

16. 9/21/18 Chalmers 16 Connection to the Workshop? • ”Big Software” • Lots of stakeholders • Across organisations • Across interfaces/systems • Statistical methods, AI, ML, etc., are needed to handle large amounts of data • But: How about models on a high level of abstraction? • Requirements level • Interfaces between organisations • Inform human decisions

17. 9/21/18 Chalmers 17 Req 1 (Peter) Issue X (Lisa) HW Design (Alice) Issue Y (Alice) Peter Lisa Alice2 1 1 - Useful for several use cases - Data quality is an issue - Potential ethical issues Collaboration? grischa.liebel@gmail.com

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