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Software Testing and Quality Assurance

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Software Testing and Quality Assurance ... Simply doubling the speed of processor does not take into account bottlenecks in design. You can tune software later, ... – PowerPoint PPT presentation

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Title: Software Testing and Quality Assurance


1
Software Testing and Quality Assurance
  • Lecture 40 Software Quality Assurance

2
Lecture Objectives
  • Software Performance Engineering
  • Software Performance
  • Performance in Requirements Engineering

3
Software Performance Engineering
  • Confusion with efficiency.
  • Efficiency the degree to which a program
    performs its functions within the minimum
    consumption of resources.
  • Efficiency implies trying to get the best from
    the resources available.

4
Software Performance Engineering
  • Performance the degree to which a program or
    system accomplishes its functions within given
    constraints such
  • Speed, accuracy or memory usage.
  • We are concerned with specifying, and engineering
    systems to meet their speed, accuracy etc. usage
    constraints.

Making programs more efficient may help to
achieve the performance requirements.
5
Performance Myths
  • Hardware is fast and inexpensive there are many
    factors influencing performance.
  • Simply doubling the speed of processor does not
    take into account bottlenecks in design.
  • You can tune software later, if necessary
    Empirical studies suggests that performance
    requires
  • Good design and a good choice of algorithms,
  • As well as fine tuning of code.

6
Software Performance
  • Performance is effected on several levels.
  • System Architecture where performance is
    affected by the decomposition of the system into
    modules
  • Detailed Design affected by the selection of
    algorithms and data structures.
  • System Software affected by the operating
    system, load balancing etc.
  • Hardware affected by the physical speed of the
    processor and I/O devices.

7
Performance in Requirements Engineering
  • Performance goals depends on the type of
    resources that we need to contain.
  • If resource is time, then the goals are stated in
    terms of constraints on time.
  • Workload Specification develop a workload
    profile of the functions that are most likely to
    occur in practice,
  • Their frequency or request rate.

8
Performance in Requirements Engineering
  • Performance Scenarios Identify major components
    from architectural design or use cases
  • Order in which components will need to be
    executed to carry out system functions.
  • Execution Environment determine the platforms,
    such as CPU, memory etc on which the system
    execute
  • Anticipated platform loads associated.

9
Performance in Requirements Engineering
  • Resource Usage resources required by the system
    and their usage by the system.
  • RAM, disk, network, etc.

10
Performance Goals
  • Try to specifying performance goals which are
    quantitative and measurable.
  • For example, time
  • Response time Time required to respond to an
    input, event etc. For example,
  • database may require lt 1 sec for a specified
    transaction type and lt10 sec for a specific kind
    of update.

11
Performance Goals
  • Throughput number of operations or processing
    steps per unit time. For example,
  • The system must output gt 25 frames/second,
  • Complete gt 100 updates/ hour.
  • Constraints system performance is specified in
    terms of constraints on time or resources. For
    example,
  • New system must be gt 10 faster than previous
    version.
  • System must perform lt 2 disk access/ update.

12
Key points
  • Difference between Efficiency and
    Performance
  • Performance Myths
  • Performance is effected on several levels.
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