Modeling and managing tacit product line requirements knowledge

The success of very large product lines systems with globally distributed stakeholders often builds significantly on the implicit knowledge of individuals. Final products are typically built by integrating numerous detailed specifications of subsystems. But how exactly all these parts can and need to be integrated to build valid end products is often left unspecified and to numerous discussions, reviews and the expertise of senior architects and product managers. Building a high-level product line requirements model that explicitly and formally specifies common and variable requirements, their precise integration semantics and the constraints for selecting variable features helps significantly to manage this crucial and often tacit requirements knowledge. Based on an industrial exemplar we motivate and demonstrate such an approach and discuss our early findings regarding knowledge and rationale management in product line requirements engineering

Web Data Extraction, Applications and Techniques: A Survey

Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data from the Web have been designed to solve specific problems and operate in ad-hoc domains. Other approaches, instead, heavily reuse techniques and algorithms developed in the field of Information Extraction. This survey aims at providing a structured and comprehensive overview of the literature in the field of Web Data Extraction. We provided a simple classification framework in which existing Web Data Extraction applications are grouped into two main classes, namely applications at the Enterprise level and at the Social Web level. At the Enterprise level, Web Data Extraction techniques emerge as a key tool to perform data analysis in Business and Competitive Intelligence systems as well as for business process re-engineering. At the Social Web level, Web Data Extraction techniques allow to gather a large amount of structured data continuously generated and disseminated by Web 2.0, Social Media and Online Social Network users and this offers unprecedented opportunities to analyze human behavior at a very large scale. We discuss also the potential of cross-fertilization, i.e., on the possibility of re-using Web Data Extraction techniques originally designed to work in a given domain, in other domains.Comment: Knowledge-based System

Tales of serial exploration

In this paper, we examine the firm and ecological factors that affect the long-term sustainability of exploration. We analysed the investment decisions by US venture capital firms to enter new technological domains over a 43-year period. Our results suggest that in addition to the well studied effects of inertia and slack, exploration is affected by an organization´s knowledge specialization, is conducive to repetitive momentum, and affects an organization´s subsequent exploration when occurring early in an organization´s life. We contribute to the literature on organizational learning by identifying some of the antecedents of exploration and its sustenance over time.

Customer perception of switch-feel in luxury sports utility vehicles

Successful new product introduction requires that product characteristics relate to the customer on functional, emotional, aesthetic and cultural levels. As a part of research into automotive human machine interfaces (HMI), this paper describes holistic customer research carried out to investigate how the haptics of switches in luxury sports utility vehicles (SUVs) are perceived by customers. The application of these techniques, including an initial proposal for objective specifications, is addressed within the broader new product introduction context, and benefits described. One-hundred and one customers of SUVs assessed the feel of automotive push switches, completing the tasks both in, and out of vehicles to investigate the effect of context. Using the semantic differential technique, hedonic testing, and content analysis of customers’ verbatim comments, a holistic picture has been built up of what influences the haptic experience. It was found that customers were able to partially discriminate differences in switch-feel, alongside considerations of visual appearance, image, and usability. Three factors named ‘Affective’, ‘Robustness and Precision’, and ‘Silkiness’ explained 61% of the variance in a principle components analysis. Correlations of the factors with acceptance scores were 0.505, 0.371, and 0.168, respectively

A Framework for Seamless Variant Management and Incremental Migration to a Software Product-Line

Context: Software systems often need to exist in many variants in order to satisfy varying customer requirements and operate under varying software and hardware environments. These variant-rich systems are most commonly realized using cloning, a convenient approach to create new variants by reusing existing ones. Cloning is readily available, however, the non-systematic reuse leads to difficult maintenance. An alternative strategy is adopting platform-oriented development approaches, such as Software Product-Line Engineering (SPLE). SPLE offers systematic reuse, and provides centralized control, and thus, easier maintenance. However, adopting SPLE is a risky and expensive endeavor, often relying on significant developer intervention. Researchers have attempted to devise strategies to synchronize variants (change propagation) and migrate from clone&own to an SPL, however, they are limited in accuracy and applicability. Additionally, the process models for SPLE in literature, as we will discuss, are obsolete, and only partially reflect how adoption is approached in industry. Despite many agile practices prescribing feature-oriented software development, features are still rarely documented and incorporated during actual development, making SPL-migration risky and error-prone.Objective: The overarching goal of this PhD is to bridge the gap between clone&own and software product-line engineering in a risk-free, smooth, and accurate manner. Consequently, in the first part of the PhD, we focus on the conceptualization, formalization, and implementation of a framework for migrating from a lean architecture to a platform-based one.Method: Our objectives are met by means of (i) understanding the literature relevant to variant-management and product-line migration and determining the research gaps (ii) surveying the dominant process models for SPLE and comparing them against the contemporary industrial practices, (iii) devising a framework for incremental SPL adoption, and (iv) investigating the benefit of using features beyond PL migration; facilitating model comprehension.Results: Four main results emerge from this thesis. First, we present a qualitative analysis of the state-of-the-art frameworks for change propagation and product-line migration. Second, we compare the contemporary industrial practices with the ones prescribed in the process models for SPL adoption, and provide an updated process model that unifies the two to accurately reflect the real practices and guide future practitioners. Third, we devise a framework for incremental migration of variants into a fully integrated platform by exploiting explicitly recorded metadata pertaining to clone and feature-to-asset traceability. Last, we investigate the impact of using different variability mechanisms on the comprehensibility of various model-related tasks.Future work: As ongoing and future work, we aim to integrate our framework with existing IDEs and conduct a developer study to determine the efficiency and effectiveness of using our framework. We also aim to incorporate safe-evolution in our operators

Scientific, Technical and Economic Committee for Fisheries (STECF) - Report of the SGMED-09-03 Working Group on the Mediterranean Part II

SGMED-09-03 meeting was held on 14-18 December 2009 in Barza d¿ Ispra (Italy). The report provides specific stock (by species and GSAs) predictions of stock size, fishing mortality and catches in short term (2009-2011) and medium term (2009-2018) under different management scenarios, for the main demersal and small pelagic Mediterranean stocks. STECF reviewed the report during its Plenary meeting on 26-30 April 2010 in Norwich.JRC.DG.G.4-Maritime affair

Entrepreneurial leadership: what is it and how should it be taught?

Main ArticleWe offer a comprehensive review of the literature relating to entrepreneurial leadership, noting that there are diverse understandings of the concept and little exploration of how best to teach it. We next present empirical data from a survey of teaching practices at 51 HEIs in the UK that indicate little explicit teaching of entrepreneurial leadership. Drawing on this literature and data, we make recommendations for the design of teaching materials that emphasise the relevance of leadership in entrepreneurship education and of entrepreneurship in leadership education

Exploratory Inquiry: Disparate Air Force Base Area Network Architectures

Joint Vision 2020, the Department of Defense (DoD) blueprint for development and transformation, identifies information and technology as critical enablers for our nation\u27s military and calls for the development of a joint force capable of integrated information sharing to provide decision superiority, the ability to make and implement better decisions before enemies can react (DoD, 2000). Networks have been identified as the single most important element for transforming our current military forces. Ironically, Air Force base-level communications networks have been identified as a weakness. This research follows the qualitative approach to increases the current understanding of base level communications networks by conducting a multiple site comparative case study that includes practitioner interviews at four locations and the examination of existing literature and documented trip reports. This study determines if base- level networks are disparate, isolates sources of disparity, identifies advantages and disadvantages of disparity, and recommends an appropriate course of action. This research is significant for members of the Air Force, DoD, and private citizens. Air Force networks support close to three-quarters of a million users, including active duty service members, Air Force Reserves, Air National Guard, civilians, and embedded contract employees (McCarter, 2003). In addition to potentially affecting many people and the larger DoD network, base-level networks provide support to deployed warfighters and provide the environment to train, organize and equip our forces. Additionally, these networks provide critical information to key decision makers