The problem of developing usable software project cost1 prediction systems is perennial and there are many competing approaches. Consequently, in recent years there have been exhortations to conduct empirically based evaluations in order that our understanding of project prediction might be based upon real world evidence. We now find ourselves in the interesting position of possessing this evid...

18 Analysis of the Success Factors and Failure Causes in Projects: Comparison of the Spanish Information and Communication Technology (ICT) Sector Vicente Rodríguez Montequín, Project Engineering Area, University of Oviedo, Oviedo, Spain Sonia Cousillas Fernández, Project Engineering Area, University of Oviedo, Oviedo, Spain Francisco Ortega Fernández, Project Engineering Area, University of Ov...

Many Information Technology (IT) tools now exist to support collaborative working between engineering organisations. These often address operational issues rather than tactical or strategic issues. In particular, there are no effective tools for collaborative project planning between project partners. An electronic engineering hub (e-Hub) is considered useful in this regard. This paper presents...

Open Source Software (OSS) projects as a complex software engineering system is an ideal domain for empirical software engineering, because it provides a lot of data and possibility to introduce new approaches that can be easily adapted and enrich methods to improve the software quality. As flexible and continuous developing systems, OSS projects are always growing as new requirements from user...

Project alignment is the process of ensuring that project key stakeholders share a common understanding of project work processes, operational procedure, objectives and plans. The paper focuses on Project Alignment methods and tool for Collaborative Project Management. The research results presented are initially based on large scale distributed engineering projects, but the results can easily ...

The project management discipline is expanding within many engineering activities. This discipline can facilitate strivings toward successful accomplishment of an engineering project. Therefore, many academic institutes teach the “project management” program. This study presents a novel approach that educates engineering students to become successful project managers based on contextual learnin...

While most Systems Engineering Management (SEM) applications use some subset of traditional Project Management (PM) methods and tools, the actual practice of systems engineering management involves continuous cognitive zigzagging between systems engineering—the product domain—and project management—the project domain. Focusing on seven PM methods, we examine two research questions regarding sys...

Data interpretation is an essential element of mature software project management and empirical software engineering. As far as project management is concerned, data interpretation can support the assessment of the current project status and the achievement of project goals and requirements. As far as empirical studies are concerned, data interpretation can help to draw conclusions from collect...