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Misuse cases (MUC) => Misuse cases maps (a notation)

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Modelise cyber attacks to trigger security requirements elicitation

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Research method : controlled experiment

\n\n

Asks for participation in evaluation of Misuse case maps

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71 % of Requirements written in common NL

\n

16% in structured NL

\n

Ambiguities types

\n\n

Other problems : vagueness

\n

Part-of-speech-tagging : a tool that tags every word in a document

\n

Examples of ambiguities see paper + cited references

\n

Based on the concept of signifiers

\n

Some errors detected by experts were however compliant to best practices

\n

There exists an ambiguity handbook (...?)

\n

Conclusion : industrialy relevant

\n

Available as SaaS ?

\n

 

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Presented by: Vincenzo Gervasi

\n

My discussion:

\n

First of all, I really enjoyed reading the paper which is clear concise, and easy to understand.

\n

Then I discovered that most of the requirements I write are potentially ambiguous, and I was scared. But when going further I also learnt that ambiguous requirements are not necessarilly bad quality requirements and then I was pleased. As it has been said earlier in the morning it is difficult to recongnize its own fault, so I'm now considering that, yes I write ambiguous requirements, but full of \"good\" ambiguities. :-)

\n

What is interesting is the concept that a good ambiguity is an ambiguity that both writer and reader should be aware of. This implies that we need to educate both requirements producers and requirements consumers to recognize and understand ambiguities in requirements.

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Presented by : Fabian de Bruijn

\n

What is the effect of highly ambiguous requirements on project success?

\n

Case study project : 279 Reqs, time increased 4X, >100 blocking issue ==> project cancelled

\n

Human interpretation + Automated review + Manual review

\n

see references in paper

\n

 

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requirements are not put together well

\n

we behave as if all projects are alike (which is not the case)

\n

Pieces of the puzzle

\n
    \n
  1. Vision : short statement
    2. \n
  2. Stakeholders : who has a valid interest in this product
      \n
    1. Beneficiary
      2. \n
    2. Negative
      3. \n
    3. Regulatory
      4. \n
    4. Operational
      5. \n
    5. Expert
      6. \n
    3. \n
  3. Goals: what do stakeholders want ? what are the conflicts ?
    4. \n
  4. Context: where is the boundary of the system ?
    5. \n
  5. Scenarios: how will people use the system ?
    6. \n
  6. Qualities & Constraints: how do people want it to be ? what are the limits ?
    7. \n
  7. Rationale: why is the requirement here ?
      \n
    1. Manageable by treaceability upward and downward
      2. \n
    8. \n
  8. Definitions: What does this mean?
    9. \n
  9. Measurements: ?
    10. \n
  10. Priorities: What should be done first?
    11. \n
\n

How pieces fit together ?

\n

Challenges: Do not hesitate to break the boundaries of the formalism you use. Freely use and tylorise your RE process.

\n
\n

What are skills for tayloring RE process (who can do that ?) how to train people to do that.

\n

Risks should be emphasised. => All engineering activities consider risk management.

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Session Discussion about Product lines

\n

Larges scale, complex, multi-stakeholder environment

\n

Problem of decision-making

\n

How to manage information

\n

 

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PLEVO scoping method to scope PL inteded for Product Line Manager in charge of scoping and maintaingn stability of the Product Line

\n

 

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