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Software Engineering Tools and Environments Ch. 9 1 Outline How did the field evolve? How can tools and environments be classified and compared? What are the main categories? How can tools be integrated? What motivates


  1. Software Engineering Tools and Environments Ch. 9 1

  2. Outline • How did the field evolve? • How can tools and environments be classified and compared? • What are the main categories? • How can tools be integrated? • What motivates new tools/environments? Ch. 9 2

  3. Historical evolution • Dominant factors affecting evolution – technological developments • made certain tools necessary or possible – better understanding of software engineering processes Ch. 9 3

  4. Technological developments —examples— • Advances in graphical displays and user interfaces – graphical editors – graphical user interfaces (GUIs) – visual languages • Advances in distributed systems – tools supporting distributed configuration management and teams (groupware) Ch. 9 4

  5. Evolution • Individual tools developed to support single activities (e.g.,compilation, debugging) → Integrated environments, i.e., tools that work together – e.g., environment supporting one programming language → Open environments – tools have public interfaces which allow them to communicate and cooperate with other tools which respect those interfaces Ch. 9 5

  6. Dimensions for comparison (1) • Interaction mode – batch-oriented tools – interactive tools • Level of formality – syntax/semantics of documents produced • Dependency on phase of life cycle • Degree of standardization Ch. 9 6

  7. Dimensions for comparison (2) • Static vs. dynamic • Development tools vs. end-product components • Single-user vs. multi-user • Single-machine vs. network-aware Ch. 9 7

  8. Representative tools: Editors • Textual or graphical • Can follow a formal syntax, or can be used for informal text or free-form pictures • Monolingual (e.g., Java editor) or multilingual Ch. 9 8

  9. Representative tools: Linkers • Combine object-code fragments into a larger program – can be monolingual or polylingual • In a broader sense, tools for linking specification modules, able to perform checking and binding across various specification modules Ch. 9 9

  10. Representative tools: Interpreters • Traditionally at the programming language level • Also at the requirements specification level – requirements animation • Can be numeric or symbolic Ch. 9 10

  11. Representative tools: Code generators • In a general sense, transform a high level description into a lower-level description – a specification into an implementation • Practical example – 4th Generation Languages Ch. 9 11

  12. Representative tools: Debuggers • May be viewed as special kinds of interpreters where – execution state inspectable – execution mode definable – animation to support program understanding Ch. 9 12

  13. Representative tools: Software testing (1) • Test documentation tools – support bookkeeping of test cases • forms for test case definition, storage, retrieval Project Name: Date of test: Tested function: Tested module: Test case description: Description of results: Comments: Ch. 9 13

  14. Representative tools: Software testing (2) • Tools for test data derivation – e.g., synthesizing data from path condition • Tools for test evaluation – e.g., various coverage metrics • Tools for testing other software qualities Ch. 9 14

  15. Representative tools: Static analyzers • Data and flow control analyzers – can point out possible flaws or suspicious- looking statements • e.g., detecting uninitialized variables Ch. 9 15

  16. Representative tools: GUI tools • Graphical User Interfaces are now standard • Common abstractions include – windows and the desktop metaphor Pole disks 1 3 2 0 3 0 Ch. 9 16

  17. User-Interface Management Systems • Provide a set of basic abstractions (windows, menus, scroll bars, etc.) that may be used to customize a variety of interfaces • Provide a library of run-time routines to be linked to the developed application in order to support input and output – UIMS fall both under the category of development tools and under the category of end-product components Ch. 9 17

  18. UIMS as development tool and end-product component Progr. language Run-time dialog End run-time component user support Dialog Progr. development Developer env.mt tools Ch. 9 18

  19. Run-time structure of a UIMS INTERNAL DATA STRUCTURE Person SCREEN First nameLast nameBirth date First name Last name Month Year Day day month Birth date Run-time year dialog component Ch. 9 19

  20. Representative tools: Configuration Management • Repository • shared database of artifacts • Version management • versions stored, change history maintained • Work-space control • check-out into private work-space • check-in into shared work-space • Product modeling and building • facilities to (re)build products Ch. 9 20

  21. CVS 1.2 1.1 1.3 2.1 2.2 1.4 sequence of revisions 1.1 1.2 1.3 2.1 a branch and a later join 1.2.1.1 1.2.1.2 Ch. 9 21

  22. make aids in building and rebuilding a product helps keep a system in a consistent state after modifications 1. sys : mod1.o mod2.o 2. ld mod1.o mod2.o -o sys 3. mod1.o : mod1.c incl.h 4. cc -c mod1.c 5. mod2.o : mod2.c incl.h 6. cc -c mod2.c Ch. 9 22

  23. Representative tools: Tracking tools • Used during entire process to maintain information about the process and track that information • The most important of these are defect- tracking tools – used to store information about reported defects in the software product and track that information Ch. 9 23

  24. Representative tools: Reverse and reengineering • Program understanding systems – synthesize suitable abstractions from code • e.g., control and data flow graphs or use graphs – extract cross-references and other kinds of documentation material on the product • Reverse engineering tools also support the process of making the code and other artifacts consistent with each other Ch. 9 24

  25. Representative tools: Process support • Maintain "to do" lists, reminding next activities in the process • Automate sequences of recurring actions • Full process support via PSEEs (Process- centered Software Engineering Environments) – driven by a process-modeling language Ch. 9 25

  26. Representative tools: Management • Tools for Gantt and PERT charts – graphical interface – support to analysis • Cost estimation tools – based on models, such as COCOMO Ch. 9 26

  27. Tool integration • Data integration approach – store all process artifacts in a repository – common data representation for artifacts that different tools can use to communicate with each other • Control integration approach – different tools can communicate with each other through control messages Ch. 9 27

  28. Forces influencing tool evolution • To support new technology • To support new software processes • To support a particular method or methodology Ch. 9 28

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