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Issue : April
2009
DOI: SE042009001
Title: Organizations' Perspective on Success
and Failure of In-House Software Development
Authors: Dr. S. N. Geethalakshmi
Keywords: Success, Failure, Software Development
Process, In-house
Abstract:
Project success and failure is a question of
perception and that the criteria could vary from project
to project. A project that has been perceived to be
a failure by one stakeholder may be perceived as a
success by another. Knowledge and understanding of
success and failure factors, as well as how to measure
them and the interactions between these factors have
great importance for project management effectiveness.
The success or failure of Software Project management
consists of two components, namely the technical and
non-technical components of software development.
Non-technical related components of software development
process tend to be under managed. Therefore a study
was conducted in India among the industries that are
into in-house software development, to investigate
the influence of the non-technical components of the
software development process, on success and failure
of software development from the organizations' perspective
(Practitioners' view). This study reveals that from
organizational perspective the level of customer/user
involvement, project manager/staff and software process
management contribute most to project success and
failure.
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Issue
: April 2009
DOI: SE042009002
Title: Cost and Coverage based Test Case
Prioritization
Authors: Ms. L. Shanmuga priya, Ms. A.
Malini, Ms.A. Askarunisa and Dr.N. Ramraj
Keywords: Regression Testing, Code Coverage,
Test Case Prioritization, Mutation Faults, Average
Percentage of Fault Detection (APFD)
Abstract:
Test case prioritization techniques schedule
test cases for execution in an order that attempts
to maximize some objective function. A variety of
objective functions are applicable; one such function
involves rate of fault detection - a measure of how
quickly faults are detected within the testing process.
An improved rate of fault detection during regression
testing can provide faster feedback on a system under
regression test and let debuggers begin their work
earlier than might otherwise be possible. In this
paper, we describe several techniques for prioritizing
test cases and report our results measuring the effectiveness
of these techniques for improving rate of fault detection.
We have computed two different categories of metrices
viz.fault criterion based and coverage criterion based.
Metrices like, the average rate of fault detection(APFD
),Average rate of fault detection with cost(APFDc),
come under the first category while Average Percentage
of Statement Coverage (APSC), Average Percentage of
Branch Coverage (APBC), Average Percentage of Loop
Coverage (APLC) and Average Percentage of Condition
Coverage (APCC) come under the second category. Test
cases were executed using JUnit tool. Code cover tool
is used to find code coverage information. Test case
prioritization is performed based on coverage and
cost information. The results provide insights into
the tradeoffs among various techniques for test case
prioritization.
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Issue
: April 2009
DOI: SE042009003
Title: Database Test Management Made Effective
Through Metrics
Authors: Ms. P. Prameela, Ms.A. Askarunisa
and Dr.N. Ramaraj
Keywords: Test Management, Software Metrics,
Database Testing, Test Cases, Coverage Tree Metrics,
Command form Metrics
Abstract:
In majority of software applications, Database
systems play an important role. They are becoming
increasingly complex and are subject to constant change.
Test management of such a database application is
a very complex task. The increase in both application
complexity and reliability expectation has contributed
to great demands on database testing activities.
This paper, deals with managing the process of testing
a Database, through automated testing which will ensure
that test management time is not wasted and aids in
better decision-making. We have proposed an effective
automated test framework that manages testing of database
applications thereby reducing the various resource
attributes such as people, cost, time during the test
process. This framework also ensures quality in the
test management process by reducing the manual work.
We have measured the effectiveness of the test process
through various metrices that enhances the quality
of the process. We have implemented the test process
for six different database applications and their
effectiveness computed through metrices.
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Issue
: April 2009
DOI: SE042009004
Title: Object Oriented Metrics – A Historical
Perspective
Authors: Dr. K. Ramar and V. Krishnapriya
Keywords: OOD, OOD Metrics, Software Metrics
Abstract:
Object oriented technology is a new approach
for developing software systems to increase software
quality, software flexibility and extensibility. Software
quality cannot be improved unless it can be measured.
Software metrics are units of measurement and are
a potential tool to improve the quality of software.
Software programmers need valid measures for evaluating
and controlling the software projects. The concepts
of software metrics are well established and many
metrics relating to product quality have been developed
and used. The primary Aim of this survey is to present
the existing relevant work as complete as possible.
The survey includes traditional software metrics that
could be applied to object oriented programming and
a set of object-oriented metrics. A historical perspective
of object-oriented metrics guides researchers and
developers on how to measure the quality characteristics
of object oriented programming. The results can be
used by quality engineers in selecting the proper
set of metrics for their software projects. The future
of software metrics lies in using, testing and enabling
managers to make many kinds of predictions and assessments.
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