An Empirical Study on Decision making for Quality Requirements

[Context] Quality requirements are important for product success yet often handled poorly. The problems with scope decision lead to delayed handling and an unbalanced scope. [Objective] This study characterizes the scope decision process to understand influencing factors and properties affecting the scope decision of quality requirements. [Method] We studied one company's scope decision process over a period of five years. We analyzed the decisions artifacts and interviewed experienced engineers involved in the scope decision process. [Results] Features addressing quality aspects explicitly are a minor part (4.41%) of all features handled. The phase of the product line seems to influence the prevalence and acceptance rate of quality features. Lastly, relying on external stakeholders and upfront analysis seems to lead to long lead-times and an insufficient quality requirements scope. [Conclusions] There is a need to make quality mode explicit in the scope decision process. We propose a scope decision process at a strategic level and a tactical level. The former to address long-term planning and the latter to cater for a speedy process. Furthermore, we believe it is key to balance the stakeholder input with feedback from usage and market in a more direct way than through a long plan-driven process

VULNERABILITY ANALYSIS OF GUAM’S DEFENSE POSTURE

Since the end of the Second World War, Guam has served as a linchpin of U.S. military power in the Indo-Pacific. As the United States’ westernmost territory in the world, Guam has been lauded as the place where America’s day begins. However, with its strategic importance and abundance of military combat power, Guam may be where America’s next war begins. Following decades of reform and modernization, the People’s Liberation Army presents a significant threat to the preeminence of U.S. military power in the region. This study uses a structured vulnerability analysis based on the principles of risk analysis, reliability engineering, adversarial analysis, and safety engineering to identify Guam’s critical vulnerabilities and formulate recommendations that enhance the territory’s defense posture. This study finds that Guam’s missile defense posture constitutes the island’s most significant vulnerability and recommends that congressional budgetary initiatives must remain focused on enhancing Guam’s missile defense capability and hardening defense infrastructure throughout the Pacific territories. Should modern warfare reach the shores of Guam, the U.S. military will have to fight for Guam before it can fight from it.Outstanding ThesisLieutenant, United States NavyApproved for public release. Distribution is unlimited

ERAWATCH country reports 2011 : Malta

Acknowledgement: The University of Malta would like to acknowledge its gratitude to the European Commission, Joint Research Centre for their permission to upload this work on OAR@UoM. Further reuse of this document can be made, provided the source is acknowledged. This work was made available with the help of the Publications Office of the European Union, Copyright and Legal Issues Section.The main objective of the ERAWATCH Annual Country Reports is to characterise and assess the performance of national research systems and related policies in a structured manner that is comparable across countries. EW Country Reports 2011 identify the structural challenges faced by national innovation systems. They further analyse and assess the ability of the policy mix in place to consistently and efficiently tackle these challenges. The annex of the reports gives an overview of the latest national policy efforts towards the enhancement of European Research Area and further assess their efficiency to achieve the targets. These reports were originally produced in November - December 2011, focusing on policy developments over the previous twelve months. The reports were produced by the ERAWATCH Network under contract to JRC-IPTS. The analytical framework and the structure of the reports have been developed by the Institute for Prospective Technological Studies of the Joint Research Centre (JRC-IPTS) and Directorate General for Research and Innovation with contributions from ERAWATCH Network Asblpeer-reviewe

Skill competency development strategies by a contractor

Construction skills are one of the vital aspects of construction work which is growing in importance due to skill gaps and skill shortages during different economic cycles. The aim of this study was to investigate competence development strategies by a traditional construction company within its own pool of skill resources and among its supply chain members. The study was carried out via literature review, empirical studies involving a focus study, analysis of documentary evidence supported by unstructured interviews and a report of skill development/supply chain conference. The study demonstrates how long-term skill development can be achieved through: (a) strategic capacity planning which allows high retention, continuous training, and balanced construction demand and contractor’s supply capacity over the long term; (b) updating and upgrading the knowledge base of the supply chain through conferences and training schemes; (c) strategic investment in the workforce through training, vocational and higher degrees; and (d) acquaintance with different sources of finance. This study will assist small traditional firms in building competencies in skill development and improvement. It will assist an international audience who may face similar issue with their construction firm

Multiobjective strategies for New Product Development in the pharmaceutical industry

New Product Development (NPD) constitutes a challenging problem in the pharmaceutical industry, due to the characteristics of the development pipeline. Formally, the NPD problem can be stated as follows: select a set of R&D projects from a pool of candidate projects in order to satisfy several criteria (economic profitability, time to market) while coping with the uncertain nature of the projects. More precisely, the recurrent key issues are to determine the projects to develop once target molecules have been identified, their order and the level of resources to assign. In this context, the proposed approach combines discrete event stochastic simulation (Monte Carlo approach) with multiobjective genetic algorithms (NSGAII type, Non-Sorted Genetic Algorithm II) to optimize the highly combinatorial portfolio management problem. In that context, Genetic Algorithms (GAs) are particularly attractive for treating this kind of problem, due to their ability to directly lead to the so-called Pareto front and to account for the combinatorial aspect. This work is illustrated with a study case involving nine interdependent new product candidates targeting three diseases. An analysis is performed for this test bench on the different pairs of criteria both for the bi- and tricriteria optimization: large portfolios cause resource queues and delays time to launch and are eliminated by the bi- and tricriteria optimization strategy. The optimization strategy is thus interesting to detect the sequence candidates. Time is an important criterion to consider simultaneously with NPV and risk criteria. The order in which drugs are released in the pipeline is of great importance as with scheduling problems

Multiobjective strategies for New Product Development in the pharmaceutical industry

New Product Development (NPD) constitutes a challenging problem in the pharmaceutical industry, due to the characteristics of the development pipeline. Formally, the NPD problem can be stated as follows: select a set of R&D projects from a pool of candidate projects in order to satisfy several criteria (economic profitability, time to market) while coping with the uncertain nature of the projects. More precisely, the recurrent key issues are to determine the projects to develop once target molecules have been identified, their order and the level of resources to assign. In this context, the proposed approach combines discrete event stochastic simulation (Monte Carlo approach) with multiobjective genetic algorithms (NSGAII type, Non-Sorted Genetic Algorithm II) to optimize the highly combinatorial portfolio management problem. In that context, Genetic Algorithms (GAs) are particularly attractive for treating this kind of problem, due to their ability to directly lead to the so-called Pareto front and to account for the combinatorial aspect. This work is illustrated with a study case involving nine interdependent new product candidates targeting three diseases. An analysis is performed for this test bench on the different pairs of criteria both for the bi- and tricriteria optimization: large portfolios cause resource queues and delays time to launch and are eliminated by the bi- and tricriteria optimization strategy. The optimization strategy is thus interesting to detect the sequence candidates. Time is an important criterion to consider simultaneously with NPV and risk criteria. The order in which drugs are released in the pipeline is of great importance as with scheduling problems

The Moral Economy and Research on Projects: neglect and relevance to social capital and competencies

This paper makes a theoretical contribution to the understanding of management and of projects. The paper adopts an analysis of the moral economy, which poses a conceptual challenge to the way in which management generally, and specifically concerning projects, is understood. The paper also poses an indirect methodological challenge, particularly to positivism, empiricism and some interpretative analysis.Project management and the management of projects have tended to focus upon task and function respectively, which has relegated or excluded the role of morality in relationships in both research and practice. A similar position is adopted in economics with a focus upon closed systems. The combined result is an exclusion of the moral economy. This paper argues for a theoretical reappraisal of management generally, and specifically with regard to projects, to include the moral economy. The moral economy is not only foundational to the operation of the market economy, but also contributes to its performance.The conclusion summaries the main points and makes recommendations concerning theoretical development, methodology and practice