The Unfulfilled Potential of Data-Driven Decision Making in Agile Software Development

With the general trend towards data-driven decision making (DDDM), organizations are looking for ways to use DDDM to improve their decisions. However, few studies have looked into the practitioners view of DDDM, in particular for agile organizations. In this paper we investigated the experiences of using DDDM, and how data can improve decision making. An emailed questionnaire was sent out to 124 industry practitioners in agile software developing companies, of which 84 answered. The results show that few practitioners indicated a widespread use of DDDM in their current decision making practices. The practitioners were more positive to its future use for higher-level and more general decision making, fairly positive to its use for requirements elicitation and prioritization decisions, while being less positive to its future use at the team level. The practitioners do see a lot of potential for DDDM in an agile context; however, currently unfulfilled

A framework for the selection of the right nuclear power plant

Civil nuclear reactors are used for the production of electrical energy. In the nuclear industry vendors propose several nuclear reactor designs with a size from 35–45 MWe up to 1600–1700 MWe. The choice of the right design is a multidimensional problem since a utility has to include not only financial factors as levelised cost of electricity (LCOE) and internal rate of return (IRR), but also the so called “external factors” like the required spinning reserve, the impact on local industry and the social acceptability. Therefore it is necessary to balance advantages and disadvantages of each design during the entire life cycle of the plant, usually 40–60 years. In the scientific literature there are several techniques for solving this multidimensional problem. Unfortunately it does not seem possible to apply these methodologies as they are, since the problem is too complex and it is difficult to provide consistent and trustworthy expert judgments. This paper fills the gap, proposing a two-step framework to choosing the best nuclear reactor at the pre-feasibility study phase. The paper shows in detail how to use the methodology, comparing the choice of a small-medium reactor (SMR) with a large reactor (LR), characterised, according to the International Atomic Energy Agency (2006), by an electrical output respectively lower and higher than 700 MWe

Ecosystem services and connectivity in spatial conservation prioritization

Peer reviewe

Information Technology Project Prioritization

This thesis provides a contemporary review of several topics related to information technology project prioritization, which will help managers create their own custom methodology. Traditional prioritization tools such as weighted average scoring models are used for simultaneous comparison of a number of proposed projects on multiple dimensions, to facilitate alignment with organization goals. These methods are used for the analysis of information related to the weight preferences over criteria used. If used correctly with this procedure, it is possible to bring forward an authentic figure of merit, which is used as the projects strategic potential. This allows the projects to be ranked and the highest-ranking projects to be considered for selection. Visual tools can then be used for selection of optimum project portfolio. The literature dedicates less time on tools beyond the selection of projects. This study aims to bridge this gap by proposing a final phase of project prioritization as Project Portfolio Management