18 research outputs found
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Reusability in software engineering
This paper surveys recent work concerning reusability in software engineering. The current directions in software reusability are discussed, and the two major approaches of reusable building blocks and reusable patterns studied. An extensive bibliography, parts of which are annotated, is included
FACTORS AFFECTING CODE REUSE: lMPLICATIONS FOR A MODEL OF COMPUTER AIDED SOFTWARE ENGINEERING DEVELOPMENT PERFORMANCE
An examination of code reuse at a large financial institution yields insights
into the process of code reuse. The software development environment -- based
on an integrated CASE system -- was designed to support code reuse, but at the
end of its first two years we find that programmers are not taking full advantage
of the reuse opportunities which the CASE environment provides, The organization
has provided technical support for code reuse, but has not made organizational
adjustments, and the technical solution alone does not suffice. We also review
an existing economic model of CASE development performance that incorporates code
reuse, suggesting refinements that are based upon our observations. Finally, we
draw some conclusions about steps that managers can take to promote code reuse.Information Systems Working Papers Serie
THE BUSINESS CASE FOR AUTOMATING SOFTWARE METRICS IN OBJECT-ORIENTED COMPUTER AIDED SOFTWARE ENGINEERING ENVIRONMENTS
This paper makes the business case for automating the collection of
software metrics for gauging development performance in integrated
computer aided software engineering (CASE) environments that are
characterized by an object-oriented development methodology and a
centralized repository. The automation of function point analysis
is discussed in the context of such an integrated CASE environment
(ICE). We also discuss new metrics that describe three different
dimensions of code reuse -- leverage, value and classification --
and examine the p,ossibility of utilizing objects as means to
estimate software development labor and measure productivity. We
argue that the automated collection of these software metrics opens
up new avenues for refining the management of software development
projects and controlling stra-egic costs.Information Systems Working Papers Serie
AUTOMATED SOFTWARE METRICS, REPOSITORY EVALUATION AND SOFTWARE ASSET MANAGEMENT: NEW TOOLS AND PERSPECTIVES FOR MANAGING INTEGRATED COMPUTER AIDED SOFTWARE ENGINEERING (I-CASE)
Automated collection of software metrics in computer aided software engineering (CASE) environments
opens up new avenues for improving the management of software development operations, as well as
shifting the focus of management's control efforts from "software projectâ to "software assets" stored in a
centralized repository. Repository evaluation, a new direction for software metrics research in the 1990s,
promises a fresh view of software development performance for a range of responsibility levels. We discuss
the automation of function point and code reuse analysis in the context of an integrated CASE (I-CASE)
environment deployed at a large investment bank in New York City. The development of an automated
code reuse analysis tool prompted us to re-think how to measure and interpret code reuse in the I-CASE
environment. The metrics we propose describe three dimensions of code reuse -- leverage, value and
classification -- and we examine the value of applying them on a project and a repository-wide basis.Information Systems Working Papers Serie
AUTOMATING SOFTWARE DEVELOPMENT PRODUCTIVITY METRICS
Measurement of software development productivity is needed in order
to control software costs, but it is discouragingly labor-intensive
and expensive. Computer aided software engineering (CASE)
technologies -- especially object-oriented, integrated CASE --
have the potential to support the automation of this measurement.
In this paper, we describe automated analyzers for function point
and code reuse measurement. Both analyzers take advantage of the
existence of a meta-model of the application system, stored within
an object repository, which contains the necessary information
about the application system. We also propose new metrics for code
reuse analysis, including reuse leverage, reuse value and reuse
classification. The state-of-the-art automated software metrics
analyzers are illustrated in the context of an investment banking
industry application.Information Systems Working Papers Serie
AUTOMATING OUTPUT SIZE AND REUSABILITY METRICS IN AN OBJECT-BASED COMPUTER AIDED SOFTWARE ENGINEERING (CASE) ENVIRONMENT
Measurement of software development productivity is needed in order to control
software costs, but it is discouragingly labor-intensive and expensive. Computer aided
software engineering (CASE) technologies -- especially object-oriented, integrated CASE
-- have the potential to support the automation of this measurement. In this paper, we
discuss the conceptual development of automated analyzers for function point and
software reusability measurement for object-based CASE. Both analyzers take advantage
of the existence of a representation of the application system that is stored within an
object repository, and that contains the necessary information about the application
system. We also propose new metrics for software reusability measurement, including
reuse leverage, reuse value and reuse classification. The functionality and analytic
capabilities of state-of-the-art automated software metrics analyzers are illustrated in the
context of an investment banking industry application.Information Systems Working Papers Serie
AUTOMATING OUTPUT SIZE AND REUSE METRICS IN A REPOSITORY-BASED COMPUTER AIDED SOFTWARE ENGINEERING (CASE) ENVIRONMENT
Measurement of software development productivity is needed in order to control software costs, but it is
discouragingly labor-intensive and expensive. Computer aided software engineering (CASE) technologies --
especially repository-based, integrated CASE -- have the potential to support the automation of this
measurement. In this paper, we discuss the development of automated analyzers for function point and
software reuse measurement for object-based CASE. Both analyzers take advantage of the existence of a
representation of the application system that is stored within an object repository, and that contains the
necessary information about the application system. We also discuss metrics for software reuse
measurement, including reuse leverage, reuse value and reuse classification, that are motivated by managerial
requirements and the efforts, within industry and the IEEE, to standardize measurement. The functionality
and the analytical capabilities of state-of-the-art automated software metrics analyzers are illustrated in the
context of an investment banking industry application, that is similar to systems deployed at the New York
City-based investment bank where these tools were developed and tested.Information Systems Working Papers Serie
AUTOMATING OUTPUT SIZE AND REUSE METRICS IN A REPOSITORY-BASED COMPUTER AIDED SOFTWARE ENGINEERING (CASE) ENVIRONMENT
Measurement of software development productivity is needed in order to control software costs, but it is
discouragingly labor-intensive and expensive. Computer aided software engineering (CASE) technologies --
especially repository-based, integrated CASE -- have the potential to support the automation of this
measurement. In this paper, we discuss the development of automated analyzers for function point and
software reuse measurement for object-based CASE. Both analyzers take advantage of the existence of a
representation of the application system that is stored within an object repository, and that contains the
necessary information about the application system. We also discuss metrics for software reuse
measurement, including reuse leverage, reuse value and reuse classification, that are motivated by managerial
requirements and the efforts, within industry and the IEEE, to standardize measurement. The functionality
and the analytical capabilities of state-of-the-art automated software metrics analyzers are illustrated in the
context of an investment banking industry application, that is similar to systems deployed at the New York
City-based investment bank where these tools were developed and tested.Information Systems Working Papers Serie