By Barry W. Boehm (auth.), Professor Dr. Thomas R. Gulledge, Dr. William P. Hutzler (eds.)
This quantity provides a variety of the displays from the 1st annual convention on Analytical equipment in software program Engineering Economics held on the MITRE company in McLean, Virginia. The papers are consultant of the problems which are of curiosity to researchers within the economics of data structures and software program engineering economics. The Nineties are featuring software program economists with a very tricky set of demanding situations. due to funds concerns, the variety of huge new software program improvement efforts is declining. the first concentration has shifted to concerns in terms of upgrading and migrating current platforms. during this setting, productiveness bettering methodologies and instruments are of basic curiosity. The MITRE software program Engineering research convention was once designed to deal with a few of th,~ new and tough demanding situations that face our occupation. the first target of the convention used to be to deal with new theoretical and purposes instructions in software program Engineering Economics, a comparatively new self-discipline that offers with the administration and keep watch over of all segments of the software program life-cycle. The self-discipline has obtained a lot visibility within the final twenty-five years due to the dimension and value concerns of many software program improvement and upkeep efforts, really within the Federal govt. We thank every body who helped make this convention successful, in particular those that graciously allowed us to incorporate their paintings during this volume.
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Extra resources for Analytical Methods in Software Engineering Economics
Interviews with project managers and team members. These interviews were conducted by two members of the research team over the course of two months. The primary purpose of the interviews was to gain assistance with interpreting the labor charges that were made to the projects, how to break those charges out over sub-projects (where they were defined and software developers were broken into smaller teams), and other aspects of a project that might result in different levels of observed productivity.
4) If so, can they also be replicated in large-scale application development? This paper provides some insights to these questions by presenting the results of two phases of a multi-year field study that was carried out at the First Boston Corporation. The first phase involved three exploratory I-CASE development experiments in which we closely examined development performance. The second phase involved data collection to support an empirical study of twenty large-scale software development projects representing the bank's I -CASE-built New Trades Processing Architecture (NTPA).
61 development involving an IBM S/88 minicomputer benefitted the least from HPS; apparently there were few facilities in place at that time to support minicomputer software development. The developer also observed that development time for online, real-time screens was greatly reduced due to the implementation of a new screen painting facility. 46 High Functionality, Single-tiered Comparison: HPS to Traditional High Functionality, Cooperative Processing Comparison: HPS to Traditional Overall Life Cycle Productivity 30% gain 100% gain Average of Productivity for Selected Sub tasks 70% gain 130% gain Maintenance/Enhancement Productivity 80% gain 120% gain PROJECT MANAGER PRODUCTIVI1Y ESTIMATION CATEGORIES TABLE 2.