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THE WEB OF SYSTEM PERFORMANCE (WOSP)

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1 THE WEB OF SYSTEM PERFORMANCE (WOSP)
Excellence requires Balance ©Brian Whitworth 2006,

2 ©Brian Whitworth 2006, bwhitworth@acm.org
Overview System performance issues The Web of System Performance (WOSP) System design implications Validation experiments Summary ©Brian Whitworth 2006,

3 ©Brian Whitworth 2006, bwhitworth@acm.org
Past Predictions Leisure society (4 day week)- cf a 6 day week! Paperless office (Toffler) – cf more paper than ever before! No more programmers (Martin)- programmers still in demand AI will replace people – we still prefer human telephone help Star-Trek’s video-phone – we have the technology, but it didn’t happen Video-conferencing – millions $ invested, but didn’t happen Virtual-reality (headset) games – cf MMORGs & WADs A multi-media Internet - the Internet is still mainly text, though people download MM files E-commerce will dominate trade – still < 10% People who invested in predictions, like Internet bandwidth and video-conferencing, lost money ©Brian Whitworth 2006,

4 ©Brian Whitworth 2006, bwhitworth@acm.org
Bleeding Edge Theory Media Richness Theory Rich medium rich message? A “richness dimension? “Lean” , chat & text-messaging are the success stories! Technology Acceptance Model (TAM) That Usefulness+Usability define end-user acceptance? Yet Security, Privacy and Reliability are key issues! Microsoft spent millions on NT to make windows more reliable “Mr Clippy” (Word’s Assistant) was a friendly animation, but such a failure, its exclusion was an XP selling point! ©Brian Whitworth 2006,

5 IS Practice is ignoring IS theory
Leading Edge Practice Practitioners develop “unpredicted” products like: Considered a too simple text messaging system Chat rooms: Not multi-media, so not predicted WWW: Pundits argued it needed centralized control HTML: Experts felt it was a too-simple tag language Cell phones: Originally thought to be a yuppy toy Google: Was a simple search engine (unlike multi-mediaYahoo) Text messaging: Why text with a multi-media phone? Because! Blogs, wikis, chat, reputation systems etc are not multi-media! IS Practice is ignoring IS theory ©Brian Whitworth 2006,

6 ©Brian Whitworth 2006, bwhitworth@acm.org
We need theory! Imagine if we ran an atomic or nuclear program by trial and error. Imagine if we ran the space shuttle program by trial and error Are we developing the technical infrastructure of the future World Society by trial and error? Theory distills experience, and lets us avoid costly mistakes. It prevents predictable errors. IS Needs Theory! ©Brian Whitworth 2006,

7 ©Brian Whitworth 2006, bwhitworth@acm.org
What is performance? Propose all the problems above arise from a too limited view of system performance. So: What is system performance? Is it single or multi-dimensional? Is it absolute or relative? Is there a “best” performance? How does one produce high performance systems? ©Brian Whitworth 2006,

8 How well a system interacts with its environment
System performance is? How well a system interacts with its environment An environment can offer any system: Opportunity – environment gives benefits And/Or Risk – environment gives damage or loss General Systems Theory approach (Bertalanffy) ©Brian Whitworth 2006,

9 ©Brian Whitworth 2006, bwhitworth@acm.org
Alexander & Synthesis Alexander’s “Notes on the Synthesis of Form” raised the idea of “design tension” over 40 years ago. IS developers now use it as “Pattern Theory”. It argues that system performance is always a balancing act. A vacuum cleaner is a design “form” in the following problem design space: Reliability Usability Functionality Cost ©Brian Whitworth 2006,

10 Evolution & Performance
Successful biological systems range from simple viruses to powerful predators Not just the strong are “fit” Balance performance goal tensions differently One sided “excellence” can cause extinction Information systems illustrate a virtual “evolution”, where success has many forms, e.g. Mobile laptops vs powerful desktops “Light” background utilities vs mainline applications One purpose add-ins vs all purpose suites Open source public vs closed private systems ©Brian Whitworth 2006,

11 ©Brian Whitworth 2006, bwhitworth@acm.org
System Levels The model proposes four levels of “system” : Social: norms, culture, laws, zeitgeist, sanctions, roles (Sociology) Personal: semantics, attitudes, beliefs, opinions, ideas (Psychology) Software: programs, data, bandwidth, memory, processing (Computing) Hardware: computers, wires, printer, keyboard, mouse (Engineering) ©Brian Whitworth 2006,

12 ©Brian Whitworth 2006, bwhitworth@acm.org
Emergence Levels are different “views”, not a different systems! (Alter, Grudin, Kuutti, 1996) Information emerges from Mechanics Physical acts create information (see Shannon & Weaver) Meaning emerges from Information: Information + cognitive processing creates human meaning Culture emerges from Meaning: Personal meanings common across a group that continue over time create a culture Each level “emerges” from the previous Higher levels have higher requirements and higher performance benefits e.g. the benefits of a cooperative society require a just society ©Brian Whitworth 2006,

13 Social-Technical Systems
Hardware Systems involve physical exchanges Technology Systems are hardware + information data flows HCI Systems are technology plus people Social-technical Systems (STS) are social systems, built on HCI systems, built on software systems, built on hardware systems, e.g. i.e. involve all four system levels The Web of System Performance (WOSP) model applies to any level of a social-technical system ©Brian Whitworth 2006,

14 ©Brian Whitworth 2006, bwhitworth@acm.org
People vs Technology? Machines that become like us or replace us: the Terminator, IBM's Deep Blue, AI the movie. Machines that control us: From the industrial dark ages to the Matrix. Machines that join with us and take over: Star Trek's Borgs, Star War’s Darth Vader. Technology has evolved for <100 years but people have evolved for 3 million years WE ARE THE SENIOR PARTNER For human/machine to successfully work together, technology must support human processes ©Brian Whitworth 2006,

15 Technology and human processes
Define the human process, then design the technology Human Process Technology Support 1:1 conversation Many sense processing Multi-media system Trading Ebay type systems Human foraging Browser design Group conversations Chat Associative memory Hypertext Feedback learning The wonderful back button Normative behavior Reputation systems Likewise social needs like justice can define architectures ©Brian Whitworth 2006,

16 The Web of System Performance
Part II The Web of System Performance ©Brian Whitworth 2006,

17 ©Brian Whitworth 2006, bwhitworth@acm.org
System elements Assume four common system elements: Boundary: monitors system entry/exit Internal structure: supports and controls Effectors: generate output effects Receptors: process input signals Examples: People: skin, brain and organs, muscles and senses Computers: case, mother-board architecture, peripheral output and input ©Brian Whitworth 2006,

18 Environment Responses
Assume two desirable system outcomes: Gain Opportunity: The environment responds with a system benefit Avoid Risk: The environment responds with a system loss ©Brian Whitworth 2006,

19 ©Brian Whitworth 2006, bwhitworth@acm.org
WOSP Goals Each system element can be designed to gain value (opportunity) and/or avoid loss (risk): Boundary To enable useful entry (extendibility). To deny harmful entry (security). Internal structure To accommodate external change (flexibility). To accommodate internal change (reliability). Effector To maximize external effects (functionality). To minimize internal effort (usability). Receptor To enable meaning exchange (connectivity). To limit meaning exchange (privacy) ©Brian Whitworth 2006,

20 A System is not “high performance” if:
Ineffectual – it cannot do the job. Unusable – you cannot make it work. Unreliable – it breaks down often. Insecure – it succumbs to viruses. Inflexible – it fails when things change. Incompatible – it cannot import standard plug-ins or data. Disconnected – it cannot communicate. Indiscreet – it reveals private information. ©Brian Whitworth 2006,

21 ©Brian Whitworth 2006, bwhitworth@acm.org
Reliability Extendibility Functionality Connectivity Privacy Security Flexibility Usability ©Brian Whitworth 2006,

22 ©Brian Whitworth 2006, bwhitworth@acm.org
Functionality Goal: To act on the environment What can the system do? Also called: functionality, capability, power, usefulness, effectiveness Examples: A car that goes fast, stops well, turns well etc Software that does what the user wants ©Brian Whitworth 2006,

23 ©Brian Whitworth 2006, bwhitworth@acm.org
Functional systems Tend to be: Multi-functional All purpose (e.g. Office Suites) Feature driven (“bloatware”) Can always “get the job done” Complicated - large menus Most people only use 50% or less of their potential Hard to use ©Brian Whitworth 2006,

24 ©Brian Whitworth 2006, bwhitworth@acm.org
Usability Goal: To operate efficiently or easily, to minimize the resource costs of action How easy is it to operate/run? Also called: easy to use, simple, user friendly, efficient Examples: A car that is easy to drive, with simple controls People can use usable software without a lot of training or help HTML is usable, is usable ©Brian Whitworth 2006,

25 ©Brian Whitworth 2006, bwhitworth@acm.org
Usable systems Tend to be: Easy to use, learn and operate (intuitive) Require little training, help or documentation Provide only what is necessary now (contextual screen information) Simple, focus on essentials, remove unnecessary “bells or whistles” Less powerful ©Brian Whitworth 2006,

26 ©Brian Whitworth 2006, bwhitworth@acm.org
Reliability Goal: To continue operating despite internal data or component failure (errors) How often can it perform? Also called: Dependability, stability, trustworthy, ruggedized, MTBF, robustness, durability, maintainability, recoverability. Examples: A reliable car starts every day Reliable software doesn’t “hang” with internal “bugs”, or data errors Windows reliability has increased over the years - XP was sold on this ©Brian Whitworth 2006,

27 ©Brian Whitworth 2006, bwhitworth@acm.org
Reliable systems Tend to: Be long lasting (so lifetime warrantees are economic) Be predictable (so users can plan) Have Redundant parts - if one part fails another takes over Be minimally coupled - one error does not cause another Recover quickly from breakdown (module or data recovery) Have Undo/Back operations to reverse errors Be hard to change ©Brian Whitworth 2006,

28 ©Brian Whitworth 2006, bwhitworth@acm.org
Flexibility Goal: To still work in new environments, e.g. by changing its operation Where can it perform? Also called: Adaptability, tailorability, customizability, portability, platform independence, plasticity, agility, modifiability, pervasive Examples: An all-terrain vehicle works anywhere Mobile/pervasive computing lets people use software in any environment ©Brian Whitworth 2006,

29 ©Brian Whitworth 2006, bwhitworth@acm.org
Flexible systems Tend to be: Easily customized to individuals (e.g. control panel) Easily “fitted” to different situations (e.g. hardware independent software, O/S independent programming languages) Able to learn usage trends (e.g. cache prediction algorithms) Demand driven (e.g. CSMA/CD Ethernet vs polling networks) Interconnected, holistic - one change can affect all Error prone (e.g. changing Windows 95 screen display could be catastrophic! - until an Undo was provided) ©Brian Whitworth 2006,

30 ©Brian Whitworth 2006, bwhitworth@acm.org
Extendibility Goal: To use outside components/data With what can the system perform? Also called: Tool use, openness, scalability, interoperability, standards, permeability, compatibility Examples: Cars can fit add-ons (e.g. towbar, spoiler, rack ..) (if towbar ball is standard size) Open software, like Netscape, accepts “plug-ins” Clip and paste between applications allows one system to use another’s data easily ©Brian Whitworth 2006,

31 ©Brian Whitworth 2006, bwhitworth@acm.org
Extendible systems Tend to: Be able to accept third-party “add-ons” (Open IBM PC vs McIntosh sealed system) Be open source (system code openly displayed) Support general standards Be easily added to - Open Systems Architecture “Plug & Play” Be easily scalable (like the World Wide Web) Have decentralized control – object orientated Not be as secure ©Brian Whitworth 2006,

32 ©Brian Whitworth 2006, bwhitworth@acm.org
Security Goal: To resist or repel unauthorized entry, misuse or take over Who controls the system? Also called: Anti-virus, firewall, protectiveness, defense, integrity, safety, integrity Examples: A secure car’s lock cannot be picked Secure software (and data) cannot be used or modified by hackers or viruses ©Brian Whitworth 2006,

33 ©Brian Whitworth 2006, bwhitworth@acm.org
Secure systems Tend to be: Centrally controlled, bureaucratic Strong on boundary checks (logon codes, passwords) Resistant to external attack or entry Internally idiosyncratic Risk avoiding rather than opportunity enhancing Hard to add on to, not opportunistic ©Brian Whitworth 2006,

34 ©Brian Whitworth 2006, bwhitworth@acm.org
Connectivity Goal: To communicate with other similar systems Who can we talk to? Also called: Communication, information exchange, networking, sociabilty, interactivity Examples: A connected car could sense other cars and avoid a crash Connected software uses the Internet: , chat rooms and groupware ©Brian Whitworth 2006,

35 ©Brian Whitworth 2006, bwhitworth@acm.org
Connected systems Tend to: Be informed by other systems, and “group aware” Be up to date by download/upload Have many channeled (multi-media), two-way duplex (reciprocal), high linkage (many-to-many) communication Have a low “cycle time” (user complaints, software patches) Experience information overload/distraction ©Brian Whitworth 2006,

36 ©Brian Whitworth 2006, bwhitworth@acm.org
Privacy Goal: To control internal information release and disclosure Who sees us? Also called: Tempest proof, opaqueness, privacy, autonomy, camouflage, stealth confidentiality, secrecy Examples: Car with tinted windows, a radar scrambler Privacy software controls interactions with others (e.g. Black Ice, Zone Alarm) ©Brian Whitworth 2006,

37 ©Brian Whitworth 2006, bwhitworth@acm.org
Private systems Tend to: Be regenerative (“packing” a file needs privacy) Restrict information use (e.g. digital signatures copy protection) Be information encrypted Respect rights to own information, where one needs permission before data access Protect personal information (documents, credit cards) Hard to connect to ©Brian Whitworth 2006,

38 Performance is a Balance
©Brian Whitworth 2006,

39 System design implications
Part III System design implications ©Brian Whitworth 2006,

40 WOSP Area = Performance
The WOSP area best estimates “performance” Performance (the area) needs all the WOSP dimensions ‘Experts” predict based based on recent advance(s) If the most recent advance is the strongest dimension It also has the greatest “tension” with other factors So it soon gives diminishing returns Then, IS progress moves “unexpectedly” to a dimension where the tension is less The gaming development of the last decade was not graphics but social gaming (MMORPGs massively multiplayer online role-playing games) ©Brian Whitworth 2006,

41 ©Brian Whitworth 2006, bwhitworth@acm.org
WOSP Lines = Tensions WOSP lines are cross-cutting tensions Increasing any aspect of performance means any other can “bite back” (Edward Tenner) “Open” systems can increase security risks, and more security makes systems less open eg US. More functions can mean more for users to learn Flexible control panel can reduce reliability, when users change the wrong things Yet one can have security and openness, ease of use and functionality, connectivity and privacy, etc As systems advance, progress needs tension resolution ©Brian Whitworth 2006,

42 Innovation can resolve tensions
Find innovative ways to reconcile“opposites” Functionality + Usability = elegance Extendibility + Security = discrimination Reliability + Flexibility = autonomy Connectivity + Privacy = legitimacy Avoid one-dimensional progress (it bites back) Find progress at the points of least tension System design is an art as well as a science ©Brian Whitworth 2006,

43 ©Brian Whitworth 2006, bwhitworth@acm.org
Expanding the Web In 1992, Apple CEO John Sculley introduced the hand held Newton, saying portability (flexibility) was the wave of the future – he was right But the Newton’s portability reduced its data input usability, and in 1998 Apple dropped the line. When Palm’s Graffiti language improved handwriting recognition, the PDA market took off. Innovations may need combination advances ©Brian Whitworth 2006,

44 Why are “killer apps” functionally simple?
A basic system can be written in a weekend, yet is a killer app When systems begin, the web is “slack”. As they evolve, tensions arise A simple new application allows WOSP performance expansion A powerful new function, like video , is much more difficult to support all-round Minimize functionality to increase your system performance! ©Brian Whitworth 2006,

45 WOSP shape/profile and Environment “Fit”
Performance has no “perfect” form In opportunity environments right action gives benefit, favoring the four success creating goals: Functionality, Reliability, Extendibility and Connectivity In risk environments, wrong action gives great loss, favoring the four failure avoiding goals: Security, Privacy, Usability, Flexibility Different environments, organizations and applications favor different performance “shapes” ©Brian Whitworth 2006,

46 Analyze the performance profile
What % of your project should be spent on: Security Resist outside attack/take-over? Extendibility Use outside components/data? Functionality Required functionality? Usability Conserve user/system effort? Reliability Avoid/recover from internal failure? Flexibility Predict/adapt to external changes? Connectivity Communicate with other systems? Privacy Control self-disclosure? Don’t spend 90% of project effort on what will be only 50% of system performance ©Brian Whitworth 2006,

47 Convert WOSP goals to performance requirements
For a browser Privacy Any sensitive information I give the browser, like logon passwords, is encrypted, so others can’t see it. Password information always shows as asterisks, so others cannot look over my shoulder to see them It stops web sites from getting my name or from my computer’s data. Security It can detect and prevent spyware from installing It can detect and prevent popup ads ©Brian Whitworth 2006,

48 System design “layers”
Specialist specifications/teams for: Functionality: Traditional specs (main module) Usability: User costs (HCI) (interface, help, wizards) Reliability: Error analysis (error & recovery code) Flexibility: Portability analysis (control panel, preferences) Extendibility: Compatibility analysis (plug-in manager, import/export data, clip and paste) Security: Threat analysis (logon/registration module) Connectivity: Internet/network analysis (comms module) Privacy: Legitimacy analysis (rights control module) ©Brian Whitworth 2006,

49 ©Brian Whitworth 2006, bwhitworth@acm.org
Design Integration For projects to produce known and established systems, whose goals are well known and well defined, specialization and specialists maximize results (they give more local output per local criteria) For projects to produce new systems, whose goals are not well known or defined, requires integration as well as specialization, to increase synergy and decrease cross-cutting conflicts ©Brian Whitworth 2006,

50 Increasing Integration
Cross-disciplinary leader or project “guru” Hard to find Increase cross-discipline communication: Regular cross-specialist meetings under multi-discipline chairs – hard to run Combine specialty teams. e. g. for: actions (functionality + usability), interactions (security + extendibility), contingencies (reliability + flexibility) and sociability (connectivity + privacy). ©Brian Whitworth 2006,

51 ©Brian Whitworth 2006, bwhitworth@acm.org
Extreme Programming For small teams producing innovative/new projects Everyone contributes to every system part All team members involved in every aspect of system design Common entry point for all system changes Maximizes system integration (goal synergies) Minimizes design conflicts ©Brian Whitworth 2006,

52 Validation experiments
Part IV Validation experiments ©Brian Whitworth 2006,

53 Validation – Conjoint Analysis
Subjects were told they were company managers who had to choose a new common browser for their company They were given 30 browsers to choose from, each with different ratings on the eight WOSP factors Then asked to rate and rank the browsers ©Brian Whitworth 2006,

54 Results: Criteria Weights
Security, Privacy & Usability came before Functionality! ©Brian Whitworth 2006,

55 Analytical Hierarchical Processing Study
TAM proposes perceived usefulness and ease of use affect technology acceptance (2 factors) Subjects used both TAM and WOSP criteria Subjects rated 3 browsers using AHP pair-wise comparisons They then compared the two methods ©Brian Whitworth 2006,

56 ©Brian Whitworth 2006, bwhitworth@acm.org
Results: TAM vs WOSP ©Brian Whitworth 2006,

57 ©Brian Whitworth 2006, bwhitworth@acm.org
CA vs AHP WOSP Ranks Has the Web become a threat environment? ©Brian Whitworth 2006,

58 ©Brian Whitworth 2006, bwhitworth@acm.org
Part V Summary ©Brian Whitworth 2006,

59 ©Brian Whitworth 2006, bwhitworth@acm.org
What Users Want Functionality and Usability Reliability and Flexibility Security and Extendibility Connectivity and Privacy They want it all! Why? We ourselves are such a balanced system, so we expect no less of the systems we work with ©Brian Whitworth 2006,

60 ©Brian Whitworth 2006, bwhitworth@acm.org
Design Tips Summary Define the human process, then design the technology Less (functionality) may mean more performance (avoid the Version 2 flop problem) Match project effort to your app’s performance profile For new applications, increase design integration by cross-disciplinary staff, or more/better communication Expect cross-cutting conflicts Convert WOSP goals to technology requirements Check your web of system performance - success needs many causes, but system failure needs only one ©Brian Whitworth 2006,

61 ©Brian Whitworth 2006, bwhitworth@acm.org
Design Questions What is the human process/task your technology will support? What is your system level? (S/W,HCI, STS) What is your application’s performance profile? (e.g. your top 3-4 criterion goals are?) What are specific requirements of each goal? Do you have cross-cutting design issues? What designs satisfy your “performance space”? ©Brian Whitworth 2006,

62 ©Brian Whitworth 2006, bwhitworth@acm.org
Summary One-dimensional progress bites back Progress is a train on many tracks at once Advanced system performance has many goals Reconciling these goals requires innovation Innovation finds the points of least tension System design is an art as well as a science, needing integration as well as specialization The “killer” advances of the last decade ( , browsers, chat, blogs) succeeded by balance as well as excellence ©Brian Whitworth 2006,

63 Excellence requires Balance
Conclusion Excellence requires Balance See brianwhitworth.com for: Whitworth, B., Fjermestad, J., Mahinda, E., 2006, The Web of System Performance: A multi-goal model of information system performance, Communications of the ACM, May, Vol 49, No 5, p Whitworth, B., & Zaic, M. (2003). The WOSP Model: Balanced Information System Design And Evaluation. Communications of the Association for Information Systems, 12, ©Brian Whitworth 2006,

64 ©Brian Whitworth 2006, bwhitworth@acm.org
Derived vs Observed WOSP goals were derived from the general nature of systems Yet match observed system requirements quite well Current system requirements are very confused and confounded E.g. are privacy and reliability part of security? ©Brian Whitworth 2006,


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