A win-win metric based software management approach

Simmons, Dick B.

doi:10.1109/17.119661

Cited by 17 publications

(4 citation statements)

References 24 publications

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“…Our concerns are how productivity changes over time and what management actions and tools can accelerate improvements in productivity and reductions in total development time. Although our productivity values (in terms of lines of code/person‐month) are somewhat higher than some that have been reported in the literature[11], this may not be an inconsistency, but suggests that, industry‐wide, software productivity is improving. Several software tracking studies of lines‐of‐code productivity have observed similar improvements over time (see, for example, Daskalantonakis[12]), and this suggests that comparisons of metrics at different chronological points can be misleading.…”

Section: Research Resultscontrasting

confidence: 70%

Time‐based software development

Blackburn

Scudder

1996

Integrated Mfg Systems

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Software projects are commonly late and over budget, causing the product to be late to market. Based on questionnaires and field research with software managers in Europe, the USA and Japan, seeks to isolate the management practices that accelerate software development. The results suggest that global differences are not pronounced: Japanese software factories have development processes structured similarly to their US and European counterparts; productivity is also roughly equivalent. To reduce development time, software managers currently achieve greater leverage from the management of people and the cross‐functional process than with the use of CASE tools and technology.

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Section: Research Resultscontrasting

confidence: 70%

Time‐based software development

Blackburn

Scudder

1996

Integrated Mfg Systems

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“…The importance of software measurement to support managerial and engineering processes has been amply demonstrated [1,3,9,13,26,28]. But objective assessment is required to determine if software measurement is efficient and effective, and aligned with the needs of the organisation's people and software engineering processes.…”

Section: Introductionmentioning

confidence: 99%

Assessment of software measurement: an information quality study

Berry¹,

Jeffery²,

Aurum³

10th International Symposium on Software Metrics, 2004. Proceedings.

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This paper reports on the first phase of an empirical research project concerning methods to assess the quality of the information in software measurement products. Two measurement assessment instruments are developed and deployed in order to generate two sets of analyses and conclusions. These sets will be subjected to an evaluation of their information quality in phase two of the project. One assessment instrument was based on AIMQ, a generic model of information quality. The other instrument was developed by targeting specific practices relating to software project management and identifying requirements for information support. Both assessment instruments delivered data that could be used to identify opportunities to improve measurement. The generic instrument is cheap to acquire and deploy, while the targeted instrument requires more effort to build. Conclusions about the relative merits of the methods, in terms of their suitability for improvement purposes, await the results from the second phase of the project.

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“…In 1992, Simmons describes a metric based management approach which would help software professionals visualize and understand software development progress [6]. Simmons, Ellis, and Escamilla proposed knowledge based Manager Associate [7] where information was gathered across a network from development workstations and servers.…”

Section: Introductionmentioning

confidence: 99%

Software Engineering Expert System for Global Development

Simmons

2006

2006 18th IEEE International Conference on Tools With Artificial Intelligence (ICTAI'06)

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Software project control and software process improvement both depend on the ability to measure software development status. This paper introduces the Software Engineering Expert System (SEES) tool where the software professional can gather metrics from CASE tool databases to reconstruct all activities in a software project from project initiation to project termination. SEES is Internet based and can be applied to help manage globally distributed projects.

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A win-win metric based software management approach

Cited by 17 publications

References 24 publications

Time‐based software development

Time‐based software development

Assessment of software measurement: an information quality study

Software Engineering Expert System for Global Development

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