Informatics 43 Introduction to Software Engineering Lecture 8-2 November 19, 2015 Emily Navarro Duplication of course material for any commercial purpose without the explicit written permission of the professor is prohibited. SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 1 Today’s lecture • More Software Process Models – – – – – Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile • Quiz 6 study guide SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 2 Today’s lecture • More Software Process Models – – – – – Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile • Quiz 6 study guide SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 3 Processes as a Remedy • Software is engineered via a defined process – Cover all steps from initial idea and requirements to delivery, maintenance, and final retirement – Make sure we do the right things/we do things right – Make sure we do not forget to do anything – Different processes for different kinds of software • Not a silver bullet [Brooks “No Silver Bullet”] – Software is still intrinsically difficult to deal with – Processes help, but cannot guarantee anything Remember: People + Processes + Tools Product SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 4 Processes • Elements – Activities (“Phases”) – Artifacts • Requirements document, design document, code, test cases… – Resources • People (their time and their cost) • Tools (their time and their cost) • Relationships between the elements – Precedence, requires, provides, refines to, … • Constraints – Time – Cost – Qualities (repeatable process?) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 5 Software Life Cycle Models • • • • • • • • • Build-and-fix Waterfall Rapid prototyping Incremental Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile A software life cycle model is a high-level process SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 6 Software Life Cycle Models • • • • • • • • • Build-and-fix Waterfall Rapid prototyping Incremental Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile Covered in Lecture 8-1 A software life cycle model is a high-level process SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 7 Today’s lecture • More Software Process Models – – – – – Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile • Quiz 6 study guide SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 8 Spiral Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 9 Each loop through the spiral… • Identify a high-risk sub-problem or aspect • Resolve the risk (as far as possible) • Verify SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 10 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 11 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 12 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 13 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 14 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 15 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 16 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 17 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 18 Spiral Risk analysis Risk analysis Risk analysis Risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 19 Software Risks: Some of Boehm’s Top 10 Risk Risk Management Techniques Personnel shortfalls Staff with top talent, job matching, morale building Unrealistic schedules and budgets Detailed cost/schedule estimation, reuse, incremental development Developing the wrong software functions User surveys, prototyping Continuing stream of software changes Information hiding, incremental development Shortfalls in externally furnished components Compatibility analysis Shortfalls in externally performed tasks Reference checking, competitive design or prototyping Adapted from Hans Schaefer’s “Software Risk Management: A Calculated Gamble” SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 20 Full Spiral SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 21 So… • What is it good for? (strengths) • What is it bad for? (weaknesses) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 22 So… • What is it good for? (strengths) – Large, expensive, complicated projects – New projects with uncertain, complex requirements • What is it bad for? (weaknesses) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 23 So… • What is it good for? (strengths) – Large, expensive, complicated projects – New projects with uncertain, complex requirements • What is it bad for? (weaknesses) – Small projects – Developers have to be competent at risk analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 24 Today’s lecture • More Software Process Models – – – – – Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile • Quiz 6 study guide SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 25 Rational Unified Process • Influential, best practices of its time (1990s, Object-Oriented SE) • More realistic depiction of – The non-discrete nature of SE – The need to have flexibility/adaptability in the process itself – The interplay of • Processes • Time • Various SE activities over time – Much more… • Workflows, Activities, Artifacts, Workers… • Makes more sense if you are a project manager… SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 26 The RUP Model Phases Process Workflows Inception Elaboration Construction Business Modeling In an iteration, you walk Transition all through workflows Requirements Analysis & Design Implementation Test Deployment Supporting Workflows Configuration Mgmt Management Workflows group activities logically SDCL Software Design and Collaboration Laboratory Environment Preliminary Iteration(s) Iter. #1 Iter. #2 Iter. #n Iter. Iter. #n+1 #n+2 Iter. #m Iter. #m+1 Iterations Department of Informatics, UC Irvine sdcl.ics.uci.edu 27 RUP Workflow: Architectural Analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 28 RUP Workflow: Analysis & Design SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 29 The steps of use-case-analysis SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 30 So… • What is it good for? (strengths) • What is it bad for? (weaknesses) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 31 So… • What is it good for? (strengths) – Risk-driven, incremental – Lots of tool support – Provides a lot of guidance • What is it bad for? (weaknesses) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 32 So… • What is it good for? (strengths) – Risk-driven, incremental – Lots of tool support – Provides a lot of guidance • What is it bad for? (weaknesses) – Complicated (need a process expert to implement it) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 33 Today’s lecture • More Software Process Models – – – – – Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile • Quiz 6 study guide SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 34 Open-Source Software (OSS): Classic Version • Source code is freely available and (usually) re-distributable • Many contributors working in a distributed manner – – – – – Coders Bug finders Documenters Project leadership Often volunteers • Heavy reliance on software tools – The web and email – Version control and repositories, bug trackers • Scales up amazingly well • Where do they find the time? SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 35 OSS Underlying Philosophy “This is a way to optimize the usage of the work, the value humanity as a whole gets from it. At the cost, of course, of the ability of the producer to capture value.” -Marijn Haverbeke (http://marijnhaverbeke.nl/blog/sustainable-maintenance.html) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 36 OSS Classic: Only Two Phases • First, develop the initial version – Usually one or a small number of developers • Second, maintain (evolve!) – Users become co-developers (co-maintainers!) – Report and correct defects • Corrective maintenance – Enhance and add new functionality • Perfective maintenance – Port to a different environment • Adaptive maintenance SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 37 OSS Success Stories • Operating systems – Linux • Web browser – Firefox • Compiler – gcc • Web server – Apache • Database – MySQL • Development environment – Eclipse SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 38 Open Source: The Corporate Version • Use open source software – Saves money – Avoids “lock-in” – Provides “business agility” • Sponsor open source projects – Provide funding, developer resources, infrastructure, management – Company benefits from the resulting product and the “brownie points” • Examples – Android – Alliance for Open Media • Mozilla, Microsoft, Google, Cisco, Intel, Amazon, Netflix SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 39 OSS has changed things… • First step in a typical software process: look for open source components to fulfill requirements • Branching out – Education – Filmmaking – Furniture SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 40 OSS Video • https://www.youtube.com/watch?v=Tyd0FO0tko8 SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 41 So… • What is it good for? (strengths) • What is it bad for? (weaknesses) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 42 So… • What is it good for? (strengths) – Software that benefits developers (oftentimes extends to the public at large) – Accessibility of open source software results in a huge user base, which also results in huge advances – Some of the greatest minds, motivated and working together to solve hard problems, in which they themselves are the users, can result in huge advances (novel features, better quality code) “Given enough eyeballs, all bugs are shallow.” – Eric Raymond SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 43 So… • What is it good for? (strengths) – Software that benefits developers (oftentimes extends to the public at large) – Accessibility of open source software results in a huge user base, which also results in huge advances – Some of the greatest minds, motivated and working together to solve hard problems can result in huge advances (novel features, better quality code) • What is it bad for? (weaknesses) – – – – SDCL Proprietary software Software with strict requirements and/or tight deadlines Technical support/maintenance can be iffy Developers are often not compensated financially Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 44 Today’s lecture • More Software Process Models – – – – – Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile • Quiz 6 study guide SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 45 Extreme Programming (XP) • More “extreme” reaction to Waterfall, other heavyweights… • Kent Beck (also Ron Jeffries) – Software engineering consists of • Listening, Testing, Coding, Designing – Based on • Values of Simplicity, Communication, Feedback, Courage – Works by • Simple practices, such as bringing/keeping the team together • Just enough feedback to know where you are • Just enough (and just in time) “heavier” activities • More “programmer welfare” than other process models… SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 46 XP Practices and Principles (I) • Whole team – Customer on site, part of the team • Planning game – Once per iteration • Small releases • Customer tests • Simple design – “Simple is best” – Refactoring encouraged • Pair programming • Test-driven development • Design improvement – Refactor whenever, wherever possible SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 47 XP Practices and Principles (II) • Continuous integration – Everyone works on the most recent version of the code • Collective code ownership – Anyone can change any part of code – All team members work on all development activities • Coding standards – Promotes shared understanding • Metaphor – A “story” about the system • Sustainable pace – 40-hour work weeks – short iterations • Open space – Especially for pair programming SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 48 XP Process Steps • Determine the desired features (stories) – Estimate time/cost (effort) per feature – Client can help determine order of development • Story prioritization • Stories further refined into development tasks • Implement/deliver each task – Typically using… • Test-driven development • Pair programming • Follow values and principles – (See previous slides) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 49 XP Philosophies (I) • Rapid, fine feedback – Frequent testing – On-site customer – Pair programming • Continuous process – Continuous integration – Merciless refactoring – Small, frequent releases From Glenn Vanderburg, Delphi Consultants SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 50 XP Philosophies (II) • Shared understanding – – – – – Planning game Simple design System metaphor Collective code ownership Coding conventions • Developer welfare – Forty hour week From Glenn Vanderburg, Delphi Consultants SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 51 SimSE XP Demo SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 52 Today’s lecture • More Software Process Models – – – – – Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile • Quiz 6 study guide SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 53 From XP to Agile • Agile includes and evolved from – Extreme Programming – Scrum, Crystal, others • The Agile Manifesto (2001) – “We have come to value…” – Individuals and interactions • Over processes and tools – Working software • Over comprehensive documentation – Customer collaboration • Over contract negotiation – Responding to change • Over following a plan SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 54 Some Agile Principles • Welcome change in requirements – Even late in development – Harness change for competitive advantage • Business people and developers work together daily throughout the project – Stand-up meetings • Build projects around motivated individuals – Give them the environment and support they need SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 55 More Agile Principles • Best method of conveying information during development is face-to-face conversation – Informal communication – Stand-up meetings • Documentation is just a means to an end – Do only the necessary amount – Source code is the biggest part of the documentation SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 56 Some Agile Principles • Continuous delivery: deliver working software frequently to satisfy the customer Figure credit: R. Souza, C. Chavez, and R. Bittencourt. Rapid releases and patch backouts: A software analytics approach. Software, IEEE, 32(2):89–96, Mar 2015. SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 57 Continuous delivery • Tools – Integration repositories – Automated testing • Methods – Timeboxing (time-based releases) – Sprints (feature-based releases) • For each release, tradeoffs between – Schedule – Features – Quality • Examples – – – – SDCL Firefox/Chrome: 6-week release cycle Google+: 36 hour release cycle Facebook: 2 releases per day Etsy.com: 36 releases per day (11 commits per release) Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 58 A closer look at one agile process (Scrum) • https://www.youtube.com/watch?v=XU0llRltyFM SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 59 Some real life agile examples • https://www.youtube.com/watch?v=szr0ezLyQHY • https://www.youtube.com/watch?v=q1RqhRcPJZ0 SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 60 So… • What is it good for? (strengths) • What is it bad for? (weaknesses) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 61 So… • What is it good for? (strengths) – – – – Customer satisfaction Adaptable to changing circumstances Good for projects with unclear, changing requirements Good for small teams • What is it bad for? (weaknesses) SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 62 So… • What is it good for? (strengths) – – – – Customer satisfaction Adaptable to changing circumstances Good for projects with unclear, changing requirements Good for small teams • What is it bad for? (weaknesses) – – – – SDCL Lack of documentation Unstable requirements Bad for projects with large teams Bad for projects in which customer involvement is not possible Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 63 A Comparison of Life Cycle Models (Highlights) Model Strengths Weaknesses Build-and-Fix Fine for small programs that do not require much maintenance Totally unsatisfactorily for nontrivial programs Waterfall Disciplined approach Document driven Delivered product may not meet client’s needs Rapid Prototyping Ensures that delivered product meets client’s needs A need to build twice Cannot always be used Incremental Maximizes early return on investment Requires open architecture May degenerate into build-and-fix Spiral Incorporates features of all the above models Developers have to be competent at risk-analysis RUP Risk-driven, incremental, lots of guidance Complicated, requires a process expert OSS Rapid advances, high-quality software Developers do not benefit financially Agile/XP High customer satisfaction Adaptable to change Lack of documentation Requires small teams and customer involvement SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 64 Today’s lecture • More Software Process Models – – – – – Spiral Rational Unified Process (RUP) Open Source Software (OSS) Extreme Programming (XP) Agile • Quiz 6 study guide SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 65 Quiz 6 • Readings: – Windows 10 article – Gamasutra article • Discussion: – SimSE exercise (week 9) • Lecture: – Know characteristics, strengths, and weaknesses of all process models covered through today SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 66 Reminder • Homework 3A due Tuesday 11/24, 11:55pm – No late assignments accepted except for extenuating circumstances as described in first lecture – Don’t forget your github username at the top of your document SDCL Software Design and Collaboration Laboratory Department of Informatics, UC Irvine sdcl.ics.uci.edu 67