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Categories of software defects

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					Categories of software defects


  See accompanying Word file
      “Software defects 2”
                          Software warranties

• Four general categories of software defects
  tend to be significant in product liability
  litigation:
  – Errors of commission (something is done that is wrong)
  – Errors of omission (something was left out by accident)
  – Errors of clarity and ambiguity, (two people reach different
    interpretations of what is meant)
  – Errors of speed or capacity (the application works, but not fast
    enough)
                        Origins of defects
–   Errors in       Requirements
–   Errors in       Design
–   Errors in       Source Code
–   Errors in       User Documentation
–   Errors due to   "Bad Fixes"
–   Errors in       Data and Tables
–   Errors in       Test Cases
                Requirements defects (1)
• All four categories of defect are found in requirements
• The two most common problems are errors of omission
  and errors of clarity and ambiguity.
• If requirements errors are not prevented or removed, they
  flow downstream into design, code, and user manuals.
• Errors which originate in requirements tend to be the most
  expensive and troublesome to eliminate later.
• For reducing requirements defects, prevention is usually
  more effective than defect removal.
           Requirements defects (1) ...
• Can requirements for large systems can ever be complete,
  given the observed rate of creeping requirements during
  the development cycle.
• Since requirements grow at rates between 1% and 3% per
  month during development, the initial requirements often
  describe less than 50% of the features that end up in the
  final version when it is delivered.
• Once deployed, applications continue to change at rates
  that approximate 5% to 8% new features every year, and
  perhaps 10% modification to existing features.
      Formal requirements methods
• Requirements based on natural language will always be
  troublesome.
• Several formal requirements methods have been developed
  (but are not widely used)
       • DeMarco's structured English
        IBM's HIPO diagrams (Hierarchy plus Input,
         Processing, Output),
        the Problems Statement Language (M),
        WarnierOrr Diagrams,
        the Structured Analysis and Design (SADT)
         technique
                            Design defects (2)
• Design ranks next to requirements as a source of
  very troublesome, and very expensive errors.
• All four categories of defects are found in software design
  and specifications, as might be expected.
• The most common forms of design defects are errors of
  omission where things are left out, and of commission,
  where something is stated that later turns out to be wrong.
• Errors of clarity and ambiguity are also common, and
  many performance related problems originate in the design
  process as well.
      Design defects & omission (2)
• It is not clear if it is technically possible to specify
  all of the features and functions in a large software
  system.
• MS Windows 95 or IBM's MVS in the 90,000
  function point size range were fully specified, the
  volume would exceed 500,000 pages.
• The completeness of software specifications
  declines as system size increases (over 1000fp.)
                       Coding defects (3)
• All four categories of defects can be found in
  source code, with errors of commission being
  dominant while code is under development.
• Perhaps the most surprising aspect of coding
  defects when they are studied carefully is that
  more than 50% of the serious bugs or errors found
  in the source code did not truly originate in the
  source code.
• A majority of so-called programming errors are
  really due to the programmer not understanding
  the design, or the design not correctly interpreting
  a requirement.
• This is not a surprising situation. Software is one
  of the most difficult products to visualise prior to
  having to build it.
• Built-in syntax checkers and editors associated
  with modern programming languages can find
  many "true" programming errors (such as missed
  parentheses or looping problems)
• Even poor structure and excessive branching can
  now be measured and corrected automatically.
• The kinds of errors that are not easily found are
  deeper problems in algorithms or those associated
  with misinterpretation of design.
                                      Language levels
• Defects in low-level Procedural Languages
• Defects in High-Level Non-Procedural Languages
  – It is interesting that there is no solid empirical data that strongly-
    typed languages have lower defect rates than weakly-typed
    languages, although there is no counter evidence either.

• Defects in Object-Oriented Programming
  Languages
  – Since OO analysis and design has a steep learning curve and is
    difficult to absorb, some OO projects suffer from worse than
    average quality levels due to problems originating in the design.
          Documentation defects (4)
• User documentation in the form of both manuals
  and online information can contain errors of
  omission and errors of commission
• The most common kind of problem is that of
  errors of clarity and ambiguity.
• Performance-related errors are seldom
  encountered in user information.
                              Fix defects (5)
• The phrase "bad fixes" refers to attempts to repair
  an error which, although the original error may be
  fixed, introduce a new secondary bug into the
  application.
• Bad fixes are usually errors of commission, and
  they are found in every major deliverable although
  most troublesome for requirements, design, and
  source code.
• Bad fixes are very common and can be both
  annoying and serious.
• From about 5% to more than 20% of attempts to
  repair bugs may create a new secondary bug.
• For code repairs, bad fixes correlate strongly with
  high complexity levels, as might be expected.
• Repairs to ageing legacy applications where the
  code is poorly structured tend to achieve higher
  than average bad fix injection rates.
• Often bad fixes are the result of haste or schedule
  pressures which cause the developers to skimp on
  things like inspecting or testing the repairs.
                          Bad fix examples
• when attempting to correct a loop problem such as
  going through the loop one time too often, the
  repair goes through the loop one time short of the
  correct amount; and
• when correcting a branching problem that goes to
  the wrong subroutine, the repair goes to a different
  wrong subroutine.
                            Data defects (6)
• The topic of data quality and data defects is
  usually outside the domain of software quality
  assurance
• Since one of the most common business uses of
  computers is specifically to hold databases,
  repositories, and data warehouses the topic of data
  quality is becoming a major issue.
• Data errors can be very serious and they also
  interact with software errors to create many
  expensive and troublesome problems.
• Many of the most frustrating problems that human
  beings note with computerised applications can be
  traced back to data problems.
• Errors in utility bills, financial statements, tax
  errors, motor vehicle registrations, and a host of
  others are often data errors.
                           Test-case defects (7)
• Exploratory research carried out by IBM's
  software quality assurance group on regression
  test libraries noted some disturbing findings:
   – About 30% of the regression test cases were duplicates that could
     be removed without reducing testing effectiveness.
   – About 12% of the regression test cases contained errors of some
     kind.
   – Coverage of the regression test library ranged between about 40%
     and 70% of the code; i.e., there were notable gaps which none of
     the regression test cases managed to reach.
                         Regression testing
• For software regression means slipping backward,
  and usually refers to an error made while
  attempting to add new features or fix bugs in an
  existing application.
• A regression test means a set of test cases that are
  run after changes are made to an application.
• The test cases are intended to ensure that every
  prior feature of the application still works, and that
  the new materials have not caused errors in
  existing portions of the application.

				
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