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Chapter 12: Rationale Management

Chapter 12: Rationale Management. Overview: rationale management. What is rationale? Why is it critical in software engineering? Representing rationale Authoring rationale State-of-the-practice Consensus building (WinWin) Consistency with goals (NFR Framework)

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Chapter 12: Rationale Management

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  1. Chapter 12: Rationale Management

  2. Overview: rationale management • What is rationale? • Why is it critical in software engineering? • Representing rationale • Authoring rationale • State-of-the-practice • Consensus building (WinWin) • Consistency with goals (NFR Framework) • Rapid knowledge construction (Compendium) • Summary

  3. What is rationale? Rationale is the reasoning that led to the system. Rationale includes: • the issues that were addressed, • the alternatives that were considered, • the decisions that were made to resolve the issues, • the criteria that were used to guide decisions, and • the debate developers went through to reach a decision.

  4. Why is rationale important in software engineering? Many software systems result from a large number of decisions taken over an extended period of time. • Evolving assumptions • Legacy decisions • Conflicting criteria -> high maintenance cost -> loss & rediscovery of information

  5. Uses of rationale in software engineering • Improve design support • Avoid duplicate evaluation of poor alternatives • Make consistent and explicit trade-offs • Improve documentation support • Makes it easier for non developers (e.g., managers, lawyers, technical writers) to review the design • Improve maintenance support • Provide maintainers with design context • Improve learning • New staff can learn the design by replaying the decisions that produced it

  6. Overview: rationale management • What is rationale? • Why is it critical in software engineering? • Representing rationale • Authoring rationale • State-of-the-practice • Consensus building (WinWin) • Consistency with goals (NFR Framework) • Rapid knowledge construction (Compendium) • Summary

  7. Representing rationale: issue models Argumentation is the most promising approach so far: • More information than document: captures trade-offs and discarded alternatives that design documents do not. • Less messy than communication records: communication records contain everything. Issue models represent arguments in a semi-structure form: • Nodes represent argument steps • Links represent their relationships

  8. input?:Issue display?:Issue Issues • Issues are concrete problem which usually do not have a unique, correct solution. • Issues are phrased as questions. How should the dispatcher input commands? How should track sections be displayed?

  9. input?:Issue display?:Issue addressed by addressed by addressed by text-based:Proposal point&click:Proposal Proposals • Proposals are possible alternatives to issues. • One proposal can be shared across multiple issues. The display used by the dispatcher can be a text only display with graphic characters to represent track segments. The interface for the dispatcher could be realized with a point & click interface.

  10. input?:Issue display?:Issue addressed by addressed by addressed by text-based:Proposal point&click:Proposal raises terminal?:Issue Consequent issue • Consequent issues are issues raised by the introduction of a proposal. Which terminal emulation should be used for the display?

  11. input?:Issue display?:Issue addressed by addressed by addressed by text-based:Proposal point&click:Proposal raises meets meets terminal?:Issue fails fails usability$:Criterion availability$:Criterion Criteria • A criteria represent a goodness measure. • Criteria are often design goals or nonfunctional requirements. The CTC system should have at least a 99% availability. The time to input commands should be less than two seconds.

  12. Arguments • Arguments represent the debate developers went through to arrive to resolve the issue. • Arguments can support or oppose any other part of the rationale. • Arguments constitute the most part of rationale.

  13. input?:Issue display?:Issue addressed by addressed by addressed by text-based:Proposal point&click:Proposal raises meets meets terminal?:Issue is opposed by fails fails usability$:Criterion availability$:Criterion is supported by availability-first!:Argument Arguments (2) Point&click interfaces are more complex to implement than text-based interfaces. Hence, they are also more difficult to test. The point&click interface risks introducing fatal errors in the system that would offset any usability benefit the interface would provide.

  14. Resolutions • Resolutions represent decisions. • A resolution summarizes the chosen alternative and the argument supporting it. • A resolved issue is said to be closed. • A resolved issue can be re-opened if necessary, in which case the resolution is demoted.

  15. Resolutions (2) text-based&keyboard :Resolution resolves resolves input?:Issue display?:Issue addressed by addressed by addressed by text-based:Proposal point&click:Proposal raises meets meets terminal?:Issue is opposed by fails fails usability$:Criterion availability$:Criterion is supported by availability-first!:Argument

  16. Overview: rationale management • What is rationale? • Why is it critical in software engineering? • Representing rationale • Authoring rationale • State-of-the-practice • Consensus building (WinWin) • Consistency with goals (NFR Framework) • Rapid knowledge construction (Compendium) • Summary

  17. Authoring Rationale • When to capture rationale • In meetings • Real-time communications, clarifications, negotiations and resolutions • Meeting minutes can be recorded in structured format, based on issue model • Asynchronously • Contextual information can be added in between meetings • Project participants absent during meetings can read the minutes and post additional issues or options, which can be resolved offline • When discussing change • Change is inevitable – requirements change, assumptions change • It is important to record the rationale not only for the original decision, but subsequent changes • Rationale for change must be related back to past rationale • After the fact • Many project discussions are carried out informally • The rationale behind the decisions resulting from these discussions should also be reconstructed and recorded.

  18. Authoring rationale Approaches • Reconstruction • Record-and-replay • Byproduct of development methodology • Incremental and semi automated structuring Challenges • Lot of information to capture • Disruptive for developers • Formalizing knowledge is expensive

  19. Record and replay example: meeting management • Facilitator posts an agenda • Discussion items are issues • Participants respond to the agenda • Proposed amendments are proposals or additional issues • Facilitator updates the agenda and facilitates the meeting • The scope of each discussion is a single issue tree • Minute taker records the meeting • The minute taker records discussions in terms of issues, proposals, arguments, and criteria. • The minute taker records decisions as resolutions and action items.

  20. Centralized traffic control • CTC systems enable dispatchers to monitor and control trains remotely • CTC allows the planning of routes and replanning in case of problems

  21. Centralized traffic control (2) CTC systems are ideal examples of rationale capture: • Long lived systems (some systems include 19th century relays) • Extended maintenance life cycle • Although not life critical, downtime is expensive • Low tolerance for bugs • Transition to mature technology needs careful planning

  22. Record and replay example: database discussion agenda 3. Discussion I[1] Which policy for retrieving tracks from the database? I[2] Which encoding for representing tracks in transactions? I[3] Which query language for specifying tracks in the database request?

  23. Record and replay example: database discussion I[1] Which policy for retrieving tracks from the database? Jim: How about we just retrieve the track specified by the query? It is straightforward to implement and we can always revisit it if it is too slow. Ann: Prefetching neighboring tracks would not be much difficult and way faster. Sam: During route planning, we usually need the neighbor tracks anyway. Queries for route planning are the most common queries. Jim: Ok, let’s go for the prefetch solution. We can revert to the simpler solution if it gets too complicated.

  24. Record and replay example: database discussion minutes 3. Discussion I[1] Which policy for retrieving tracks from the database? P[1.1] Single tracks! A- Lower throughput. A+ Simpler. P[1.2] Tracks + neighbors! A+ Overall better performance: during route planning, we need the neighbors anyway. {ref: 1/31 routing meeting} R[1] Implement P[1.2]. However, the prefetch should be implemented in the database layer, allowing use to encapsulate this decision. If all else fails, we will fall back on P[1.1].

  25. Methodology by-product example:the Inquiry-Based Cycle Requirements Change Challenge Question ? D Answer ! Decide Evolution Reason . Discussion

  26. Accessing rationale Browse & search • Full text search allows to identify interesting nodes • Issue model links allow the browsing of related issues quickly Passive & active design critique • Rationale can be used by knowledge based critiques to evaluate a design Challenges • Evolving terminology • Navigation through a large flat space

  27. Overview: rationale management • What is rationale? • Why is it critical in software engineering? • Representing rationale • Authoring rationale • State-of-the-practice • Consensus building (WinWin) • Consistency with goals (NFR Framework) • Rapid knowledge construction (Compendium) • Summary

  28. Consensus building Problem • Any realistic project suffers the tension of conflicting goals • Stakeholders come from different background • Stakeholders have different criteria Example • Stakeholders in requirements engineering • Client: business process (cost and schedule) • User: functionality • Developer: architecture • Manager: development process (cost and schedule)

  29. Consensus building: WinWin • Philosophy – making winners of key stakeholders is a necessary and sufficient condition for project success • Incremental, risk-driven process • Identification of stakeholders • Identification of win conditions • Conflict resolution • Asynchronous groupware tool • Stakeholders post win conditions • Facilitator detects conflict • Stakeholders discuss alternatives • Stakeholders make agreements

  30. Consensus building: Negotiation Model

  31. Artifacts of Negotiation Model • Win conditions – capture stakeholder goals and concerns with respect to a new system • Issues – record conflicts among win conditions • Options – alternative solutions to address issues • Agreements – used to adopt an option, or if there were no conflicts, the win conditions are adopted. • Taxonomy – links artifacts, acts as checklist for sufficient coverage

  32. Consensus building: Process 2. Identify stakeholders’ win conditions 1. Identify stakeholders 3. Reconcile win conditions. Establish alternatives. 7. Review & commit 6. Validate 4. Evaluate & resolve risks. 5. Define solution

  33. WinWin Tool • Groupware tool for stakeholders to negotiate mutually satisfactory system specifications. • Supports WinWin negotiation model • Synchronous and asynchronous negotiations • Additional tools support tradeoff analysis and risk identification and resolution • A4 (Architecture Attribute Analysis Aid) – Architecture-based analysis of cost, schedule, performance and reliability. • Rapide – Architecture tool for modeling and simulating systems and identifying problems (deadlocks, bottlenecks, etc.) in the architecture. • COCOMO (Constructive Cost Model) II – Cost/schedule estimation tool.

  34. Consistency with goals Problem • Once multiple criteria have been acknowledged • Find solutions that satisfy all of them • Document the trade-offs that were made Example • Authentication should be secure, flexible for the user, and low cost.

  35. Consistency with goals: NFR Framework • NFR goal refinement • NFRs are represented as goals in a graph • Leaf nodes of the graph are operational requirements • Relationships represent “help” “hurt” relationships • One graph can represent many alternatives • NFR evaluation • Make and break values are propagated through the graph automatically • Developer can evaluate different alternatives and compare them

  36. Consistency with goals: Model   

  37. Evaluate alternatives Refine into detailed goals Identify operational goals Identify goal dependencies Consistency with goals: Process Elicit high-level goals

  38. Rapid knowledge construction Problem • When a company is large enough, it doesn’t know what it does. • Knowledge rarely crosses organizational boundaries • Knowledge rarely crosses physical boundaries Example • Identify resources at risk for Y2K and prioritize responses.

  39. Rapid knowledge construction: Compendium • Meeting facilitation • Stakeholders from different business units • External facilitator • Real-time construction of knowledge maps • The focus of the meeting is a concept map under construction • Map includes the issue model nodes and custom nodes(e.g., process, resource, etc.) • Knowledge structuring for long term use • Concept map exported as document outline, process model, memos, etc.

  40. Rapid knowledge construction: Knowledge Map

  41. Nodes in the Knowledge Map • Questions • Ideas / answers • Arguments – pros and cons • Decisions • Notes • References

  42. Rapid knowledge construction: Generating Document Templates

  43. Question ? consequent question response positive assessment + Option ! Criterion $ negative assessment - supports + objects-to - supports + objects-to - Argument . Questions, Options, Criteria • Designed for capturing rationale after the fact, for long term use (e.g., quality assessment). • QOC emphasizes systematic • evaluation of options • against criteria

  44. Other issue models:Decision Representation Language

  45. Summary • Rationale can be used in project management • To build consensus (WinWin) • To ensure quality (NFR Framework) • To elicit knowledge (Compendium) • Other applications include • Risk management • Change management • Process improvement • Open issues • Tool support • User acceptance

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