Sciweavers

146 search results - page 14 / 30
» Predicting Software Development Project Outcomes
Sort
View
APSEC
2005
IEEE
14 years 1 months ago
An Industrial Case Study on Requirements Volatility Measures
Requirements volatility is an important risk factor for software projects. Software measures can help in quantifying and predicting this risk. In this paper, we present an industr...
Annabella Loconsole, Jürgen Börstler
COOPIS
2002
IEEE
14 years 18 days ago
PROLOG/RDBMS Integration in the NED Intelligent Information System
Abstract. The following paper describes recent work on NED-2, an intelligent information system for ecosystem management currently in development by the USDA Forest Service. Using ...
Frederick Maier, Donald Nute, Walter D. Potter, Ji...
HICSS
2009
IEEE
189views Biometrics» more  HICSS 2009»
14 years 2 months ago
Predicting Change: A Study of the Value Frequency Model for Change of Practice
Information systems (IS) researchers have made considerable progress on defining and formalizing structured methods to support collaborative development of information systems. Co...
Robert O. Briggs, John D. Murphy, Thomas F. Carlis...
AGILEDC
2007
IEEE
14 years 2 months ago
Ript: Innovation and Collective Product Ownership
In 2006, Oxygen Media CEO Geraldine (Gerry) Laybourne, the woman largely responsible for Nickelodeon’s early success, partnered with her XP/Scrum development team to create a ne...
Ken H. Judy, Ilio Krumins-Beens
KBSE
2008
IEEE
14 years 2 months ago
Predicting Effectiveness of Automatic Testing Tools
—Automatic white-box test generation is a challenging problem. Many existing tools rely on complex code analyses and heuristics. As a result, structural features of an input prog...
Brett Daniel, Marat Boshernitsan