An optimization model for software component selection under multiple applications development

TL;DR: A state-of-the-practice overview and some of the latest work in CBSE, as well as industry forecasts from two leaders in the field, are presented.

TL;DR: The feasibility of using data envelopment analysis (DEA) to measure efficiency and rationalise a distribution network as an alternative approach to the conventional method of optimising delivery routes and schedules through linear programming is investigated.

TL;DR: The analytic network process (ANP) method for software component selection is discussed and the methodology is explained and assessed using a real life case study.

TL;DR: In this article, the authors examine both the nature of the software problem and the properties of the bullets proposed, and show that there is no single development, in either technology or in management technique, that by itself promises even one order-of-magnitude improvement in productivity, in reliability, in simplicity.

TL;DR: In this paper, the authors describe the case study of a system testing for DIVERCITY, an EU funded project undertaken by a European consortium of researchers and practitioners from the construction industry.

TL;DR: Stephen H. Kan is responsible for IBM Rochester's software quality strategy and plans, quality assessment, software measurements, and statistical analysis.