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A lattice-gas Automata two-dimensional program was developed for analysis of single and two-phase flow behaviors, to support the development of integrated software modules for Nuclear Power Plant mechanistic simulations. The program has single-color, which includes FHP I, II, and III models, two-color (Immiscible lattice gas), and two-velocity methods including a gravity effect model. Parameter surveys have been performed for Karman vortex street, two-phase separation for understanding flow regimes, and natural circulation flow for demonstrating passive reactor safety due to the chimney structure vessel. In addition, lattice-Boltzmann Equation two-dimensional programs were also developed. For analyzing single-phase flow behavior, a lattice-Boltzmann-BGK program was developed, which has multi-block treatments. A Finite Differential lattice-Boltzmann Equation program of parallelized version was introduced to analyze boiling two-phase flow behaviors. Parameter surveys have been performed for backward facing flow, Karman vortex street, bent piping flow with/without obstacles for piping system applications, flow in the porous media for demonstrating porous debris coolability, Couette flow, and spinodal decomposition to understand basic phase separation mechanisms. Parallelization was completed by using a domain decomposition method for all of the programs. An increase in calculation speed of at least 25 times, by parallel processing on 32 processors, demonstrated high parallelization efficiency. Application fields for microscopic model simulation to hypothetical severe conditions in large plants were also discussed.

We discuss the harvesting of a single forest block from an operations scheduling viewpoint. We report on a harvesting case study, based on practical data from a commercial enterprise, involving minimum and maximum time lags and resource constraints. It appears that the scheduling of the harvesting forest blocks is a significantly different scenario from those represented by the scheduling models available in the literature. The differences come about because: the duration of each operation is dependent upon the combination of constrained resources allocated to it, individual worker-equipment allocation is restricted, and minimum or maximum time lags can be imposed. We report on harvesting operations, a scheduling model, and solution procedures, designed specifically for the case study.

Modernizing heavily evolved and poorly documented information systems is a central software engineering problem in our current IT industry. It is often necessary to reverse engineer the design documentation of such legacy systems. Several interactive CASE tools have been developed to support this human-intensive process. However, practical experience indicates that their applicability is limited because they do not adequately handle imperfect knowledge about legacy systems. In this paper, we investigate the applicability of several major theories of imperfect knowledge management in the area of soft computing and approximate reasoning. The theories are evaluated with respect to how well they meet requirements for generating effective human-centred reverse engineering environments. The requirements were elicited with help from practical case studies in the area of database reverse engineering. A particular theory called "possibilistic logic" was found to best meet these requirements most comprehensively. This evaluation highlights important challenges to the designers of knowledge management techniques, and should help reverse engineering tool implementers select appropriate technologies.

The building of traceability matrices by those other than the original developers is an arduous, error prone, prolonged, and labor intensive task. Thus, after-the-fact requirements tracing is a process where the right kind of automation can definitely assist an analyst. Recently, a number of researchers have studied the application of various methods, often based on information retrieval after-the-fact tracing. The studies are diverse enough to warrant a means for comparing them easily as well as for determining areas that require further investigation. To that end, we present here an experimental framework for evaluating requirements tracing and traceability studies. Common methods, metrics and measures are described. Recent experimental requirements tracing journal and conference papers are catalogued using the framework. We compare these studies and identify areas for future research. Finally, we provide suggestions on how the field of tracing and traceability research may move to a more mature level.

The process of selecting requirements for a release of a software product is challenging as the decision-making is based on uncertain predictions of customer value and development cost. This paper presents a method aimed at supporting software product development organisations in the identification of process improvement proposals to increase requirements selection quality. The method is based on an in-depth analysis of requirements selection decision outcomes after the release has been launched to the users. The method is validated in two separate case studies involving real requirements and industrial requirements engineering experts. The conclusions from the two case studies are that the method seems valuable in situations with complex release planning decisions, such as in market-driven projects. It also appears essential that participants with different viewpoints attend the root cause discussion. Requirements interdependencies seem to play a big role in release planning decision-making. In addition, successful projects can also be a source of learning.

Requirements traceability enables software engineers to trace a requirement from its emergence to its fulfillment. In this paper we examine requirements traceability definitions, challenges, tools and techniques, by the use of a systematic review performing an exhaustive search through the years 1997–2007. We present a number of common definitions, challenges, available tools and techniques (presenting empirical evidence when found), while complementing the results and analysis with a static validation in industry through a series of interviews.

Evolutionary structural testing has been researched and promising results have been presented. However, it has hardly been applied to real-world complex systems and as such, little is known about the scalability, applicability and acceptability of it in an industrial setting. The European project EvoTest (IST-33472) team has been working from 2006 till 2009 to improve this situation and this paper informs about the results. We start with an overview of tools and techniques which we have developed for automated evolutionary structural testing. Subsequently, we describe the empirical setup used to study the applicability of evolutionary structural testing in industry through two case studies. The test objects used for the studies are selected functions (handwritten and generated) from production systems at Daimler and Berner & Mattner Systemtechnik (BMS) like, for example, Rear Window Defroster, Global Powertrain Engine Controller, Window Lift Control System, etc. The results of the case studies are described and research questions are assessed based on the obtained results. In summary, the results indicate that evolutionary structural testing in an industrial setting is worthwhile and profitable. Hardly any detailed knowledge of evolutionary computation is required to search for interesting test data. The case studies also research the benefits of using techniques like automated parameter tuning and search space smoothing.

A well-known approach for identifying defect-prone parts of software in order to focus testing is to use different kinds of product metrics such as size or complexity. Although this approach has been evaluated in many contexts, the question remains if there are further opportunities to improve test focusing. One idea is to identify other types of information that may indicate the location of defect-prone software parts. Data from software inspections, in particular, appear to be promising. This kind of data might already lead to software parts that have inherent difficulties or programming challenges, and in consequence might be defect-prone. This article first explains how inspection and product metrics can be used to focus testing activities. Second, we compare selected product and inspection metrics commonly used to predict defect-prone parts (e.g. size and complexity metrics, inspection defect content metrics, and defect density metrics). Based on initial experience from two case studies performed in different environments, the suitability of different metrics for predicting defect-prone parts is illustrated. The studies revealed that inspection defect data seems to be a suitable predictor, and a combination of certain inspection and product metrics led to the best prioritizations in our contexts. In addition, qualitative experience is presented, which substantiates the expected benefit of using inspection results to optimize testing.

Each rational investment decision, including those made by clients with regard to Business Software Systems (BSS) Development and Enhancement Projects (D&EP), should meet two measurable criteria: effectiveness and economic efficiency. However, in the case of BSS D&EP, the assumption concerning the measurability of these criteria is often treated as controversial. Meanwhile, the so-called concept of BSS D&EP Functional Assessment (FA), proposed by the author and verified in practice, allows for using the potential offered by the Functional Size Measurement (FSM) concept and methods in the area of the quantitative evaluation of these two criteria. Thus, the paper aims at presenting and proving the capabilities of using the functional assessment concept in the quantitative evaluation of BSS D&EP effectiveness and economic efficiency. Linking FSM issues with managerial aspects through the FA concept may contribute to a better understanding of the FSM importance, which is still underestimated by business managers, as in the subject literature this issue is usually considered from a technical perspective. Meanwhile, BSS D&EP FA can constitute the basis for rational decisions not only for BSS providers, but also for BSS clients. These issues classify into economics problems of software engineering research and practice.

Service creation and customization are expensive tasks: they require specialists for the creation of required software elements, while the knowledge for defining and using those services is owned by domain experts. In many cases, some of the usual basic services could be implemented by domain experts without any programming skills. In this, paper we present the prosumer service pattern (ProSP), which considers the characterization of the prosumer and enables them to manage the knowledge of the services. A ProSP behaves as a knowledge object defined through a problem–solution approach and allows the solving of specific problems in a prosumer framework. The proposal comprises a ProSP data model, a lifecycle for the patterns, a methodological approach that involves prosumers in framework provisioning and a tool to manage ProSPs through their life cycle. This tool is based on a cloud-hosted web solution and it is accessible from different devices (PCs, tablets and smartphones). An experimental validation, where 24 students of telecommunications and bioengineering participated, was carried out. Based on obtained results, the authors discuss the factors that affect the correct elicitation of knowledge about prosumer services, the service quality improvement using the ProSP approach and the evaluation of the ProSP model.

Software supporting an enterprise’s business, also known as a business support system, needs to support the correlation of activities between actors as well as influence the activities based on knowledge about the value networks in which the enterprise acts. This requires the use of policies and rules to guide or enforce the execution of strategies or tactics within an enterprise as well as in collaborations between enterprises. With the help of policies and rules, an enterprise is able to capture an actor’s intent in its business support system, and act according to this intent on behalf of the actor. Since the value networks an enterprise is part of will change over time the business intents’ life cycle states might change. Achieving the changes in an effective and efficient way requires knowledge about the affected intents and the correlation between intents.

The aim of the study is to identify how a business support system can support continuous changes to business intents. The first step is to find a theoretical model which serves as a foundation for intent-driven systems. We conducted a case study using a focus group approach with employees from Ericsson. This case study was influenced by the spiral case study process. The study resulted in a model supporting continuous definition and execution of an enterprise. The model is divided into three layers; Define, Execute, and a common governance view layer. This makes it possible to support continuous definition and execution of business intents and to identify the actors needed to support the business intents’ life cycles. This model is supported by a meta-model for capturing information into viewpoints.

The research question is addressed by suggesting a solution supporting continuous definition and execution of an enterprise as a model of value architecture components and business functions. The results will affect how Ericsson will build the business studio for their next generation business support systems.

This research aims to develop a model that is able to integrate and objectify information provided by the different business valuation methods, incorporating quality management in its formal approach, which to date has not been considered in the literature about business valuation or quality management. Firstly, the company is valued using the methods which best adapt to its specific characteristics. Because of the subjectivity inherent in any valuation process, the results will be expressed through Triangular Fuzzy Numbers (TFN). These Fuzzy Numbers will be aggregated and summarized by applying Basic Defuzzification Distribution Uncertain Probabilistic Ordered Weighted Averaging operator (BADD-UPOWA). The weighting factors will be: the degree of confidence in each of the business valuation methods applied, and the innovative use of the company’s position on Crosby’s Quality Administration Grid. The results from application of the model in a case study show a significant reduction in uncertainty in contrast to the initial valuations. Moreover, the proposed methodology is seen to increase the final value of the company as its advances in quality management.

This study note explores the major causes that stimulate Radical Strategic Change (RSC) in Israeli high technology new ventures. It explores the factors that make RSC successful in these ventures, based on the Resource-Based-View (RBV).

A multiple case study methodology was applied on four Israeli-based start-up companies that experienced both an un-favorable and a favorable RSC, sequentially.

Our findings suggest that the level of resources was the major impetus for these RSCs, and that the alignment of resources to the environment yielded the desired performance goals for these venture.

Further research is needed to validate the findings of this study.

The goal of this research is to contribute to a pragmatic knowledge of building a Canadian small business for an independent music artist who does not know where to start in creating a business. It is meant to be an initial guide for musicians planning to consider this form of business development, as opposed to signing with a label, or as a way to increase the likelihood of becoming noticed by a label. This research paper is initial and exploratory in nature.

This study investigates the individual researcher's perceived environment as a pre-condition of entrepreneurship within the university. Our objective is to identify the micro-level antecedents that shape a university researcher's decision about whether to embark on an entrepreneurial venture. We conducted a series of both entrepreneurial and non-entrepreneurial case studies through in-depth interviews with six university researchers. The comparative case data generated inclusive descriptions of the social conditions surrounding the researchers and their individual characteristics as criteria for explaining their decisions on whether to become entrepreneurs. Our findings add to the macro-perspectives typically discussed, and advance knowledge of the entrepreneurial university by incorporating the individual's perceived environment as a micro-level condition for academic entrepreneurship. Drawing on the context of Thailand's emerging economy, in which social inequality exists alongside growth, our findings shed light on the university researcher's entrepreneurial role as a leader for social change through the commercialisation of science and technology research.

This study increases knowledge on SMEs as extended enterprises, particularly from the viewpoint of stakeholder involvement in firms’ R&D activity. Previous research holds that stakeholder involvement benefits firms’ R&D performance, but tends to approach stakeholder involvement by focusing on one or two stakeholder groups at a time. This paper explores the roles and intensity of involvement of different stakeholders in the R&D processes of SMEs and presents a 360-degree model based on prior research to empirically profile the SMEs to see where their gaps in the stakeholder potential are. The study was conducted with multiple qualitative case studies and contributes to the debates on SMEs’ R&D processes and stakeholder perspective on business. This research offers a synthetizing view of the involvement of different stakeholders’ in R&D, an approach that enables to consider SMEs as extended enterprises.

This paper aims to examine the entrepreneurial logic of mumpreneurs in the light of effectuation theory and to analyse their entrepreneurial motivation. The research is based on qualitative data from five mumpreneurs and semi-structured interviews. The data were analysed using thematic analysis. The results show that mumpreneurs are motivated by several factors such as dissatisfaction, motherhood, independence and the need to improve their financial situation. As a result of the multiple constraints faced by mumpreneurs, the five principles of effectuation emerge as an inherent mode of operation. This study provides valuable information on how effectuation theory can be used to describe the way in which mumpreneurs, depending on their situation, create new businesses to improve their situation and better develop personally and professionally in their lives as mothers and entrepreneurs.

On the Dutch workflow market, a new and interesting paradigm named "case handling" is emerging. The goal of case handling is to overcome the limitations of existing workflow management systems. By using a data-driven approach combined with implicit routing and carefully avoiding context tunneling, awareness and flexibility are improved. Currently, many organizations are considering case handling systems such as FLOWer (Pallas Athena) rather than the more traditional workflow management systems. This paper provides a critical assessment of this development. The goal is to show the pro's and con's of case handling. Moreover, based on this assessment, an alternative approach using slightly extended workflow management systems is proposed. This approach is being pursued by the Dutch government in a project involving the workflow management system Staffware. Based on our experiences thus far, we provide guidelines for selecting the proper technology.

The differential equation for inclined cables under axial narrow-band stochastic excitations is established with consideration of the cable sag and variations of cable tension along the cable. Gaussian and first-order non-Gaussian closed-form solutions are derived by employing the statistical moment truncation method to solve the moment equation. A long cable (Cable A20 of No. 2 Nanjing Bridge over the Yangtze River) is taken as an example to demonstrate the application of the theoretical model presented. The Monte Carlo method is also adopted to simulate the responses of the cable numerically under investigation. The general response characteristics of the cable are analyzed, particularly, the variation characteristics of the response of the cable depending on the excitation bandwidth when the ratio of the central frequency of excitation to the first frequency of cable is equal to one or two. Parametric vibrations of the real Cable A20 excited by the buffeting vibration of the bridge deck of No. 2 Nanjing Bridge over the Yangtze River are also calculated.

This study presents a framework for dynamic analysis of a coupled system of high-speed maglev train and curved viaduct. A series of trajectory coordinates are used to define the motion of maglev vehicles moving over a horizontally curved track, the stiffness and damping matrices of the equations can be thus reduced into those of the straight track. The curved viaduct system is modeled in the global coordinate system using the finite element method, in which the inner and outer rails in the different horizontal planes are duly included. The electromagnet force-air gap model is adopted for the maglev vehicle via its electromagnets and rails on the viaduct, by appropriate transformation of coordinates. By applying the proposed framework to the Shanghai maglev line, curved path-induced dynamic responses and characteristics of the vehicle are explored, which agree well with the measurement ones. The dynamic responses of the curved viaduct are also examined in the vertical, lateral and rotational directions by comparison with the straight viaduct. Moreover, the effect of various curve radii and cant deficiencies on the coupled system are investigated. The results show that for a maglev vehicle moving with an initial equilibrium state, its lateral and rotational response are mainly excited by track roughness. In addition to the track radius, cant deficiencies significantly affect the operational safety of the viaduct.