A Framework for Evaluating Model-Driven Self-adaptive Software Systems

In the last few years, Model Driven Development (MDD), Component-based Software Development (CBSD), and context-oriented software have become interesting alternatives for the design and construction of self-adaptive software systems. In general, the ultimate goal of these technologies is to be able to reduce development costs and effort, while improving the modularity, flexibility, adaptability, and reliability of software systems. An analysis of these technologies shows them all to include the principle of the separation of concerns, and their further integration is a key factor to obtaining high-quality and self-adaptable software systems. Each technology identifies different concerns and deals with them separately in order to specify the design of the self-adaptive applications, and, at the same time, support software with adaptability and context-awareness. This research studies the development methodologies that employ the principles of model-driven development in building self-adaptive software systems. To this aim, this article proposes an evaluation framework for analysing and evaluating the features of model-driven approaches and their ability to support software with self-adaptability and dependability in highly dynamic contextual environment. Such evaluation framework can facilitate the software developers on selecting a development methodology that suits their software requirements and reduces the development effort of building self-adaptive software systems. This study highlights the major drawbacks of the propped model-driven approaches in the related works, and emphasise on considering the volatile aspects of self-adaptive software in the analysis, design and implementation phases of the development methodologies. In addition, we argue that the development methodologies should leave the selection of modelling languages and modelling tools to the software developers.Comment: model-driven architecture, COP, AOP, component composition, self-adaptive application, context oriented software developmen

Estimating ToE Risk Level using CVSS

Security management is about calculated risk and requires continuous evaluation to ensure cost, time and resource effectiveness. Parts of which is to make future-oriented, cost-benefit investments in security. Security investments must adhere to healthy business principles where both security and financial aspects play an important role. Information on the current and potential risk level is essential to successfully trade-off security and financial aspects. Risk level is the combination of the frequency and impact of a potential unwanted event, often referred to as a security threat or misuse. The paper presents a risk level estimation model that derives risk level as a conditional probability over frequency and impact estimates. The frequency and impact estimates are derived from a set of attributes specified in the Common Vulnerability Scoring System (CVSS). The model works on the level of vulnerabilities (just as the CVSS) and is able to compose vulnerabilities into service levels. The service levels define the potential risk levels and are modelled as a Markov process, which are then used to predict the risk level at a particular time

Integration of Cost andWork Breakdown Structures in the Management of Construction Projects

Scope management allows project managers to react when a project underperforms regarding schedule, budget, and/or quality at the execution stage. Scope management can also minimize project changes and budget omissions, as well as improve the accuracy of project cost estimates and risk responses. For scope management to be effective, though, it needs to rely on a robust work breakdown structure (WBS). A robust WBS hierarchically and faithfully reflects all project tasks and work packages so that projects are easier to manage. If done properly, the WBS also allows meeting the project objectives while delivering the project on time, on budget, and with the required quality. This paper analyzes whether the integration of a cost breakdown structure (CBS) can lead to the generation of more robust WBSs in construction projects. Over the last years, some international organizations have standardized and harmonized different cost classification systems (e.g., ISO 12006-2, ISO 81346-12, OmniClass, CoClass, UniClass). These cost databases have also been introduced into building information modeling (BIM) frameworks. We hypothesize that in BIM environments, if these CBSs are used to generate the project WBS, several advantages are gained such as sharper project definition. This enhanced project definition reduces project contradictions at both planning and execution stages, anticipates potential schedule and budget deviations, improves resource allocation, and overall it allows a better response to potential project risks. The hypothesis that the use of CBSs can generate more robust WBSs is tested by the response analysis of a questionnaire survey distributed among construction practitioners and project managers. By means of structural equation modeling (SEM), the correlation (agreement) and perception differences between two 250-respondent subsamples (technical project staff vs. project management staff) are also discussed. Results of this research support the use of CBSs by construction professionals as a basis to generate WBSs for enhanced project management (PM)

Estimating Systems Engineering Reuse

Systems engineering reuse is the utilization of previously developed systems engineering products or artifacts such as architectures, requirements, and test plans across different projects. Such reuse is intended as a means of reducing development cost, project schedule, or performance risk, by avoiding the repetition of some systems engineering activities. Although projects involving systems engineering reuse are becoming more frequent, models or tools for estimating the cost, benefit, and overall impact on a project as a result of reusing products or artifacts have not yet been adequately developed. This paper provides an overview of systems engineering reuse and recent developments with the Constructive Systems Engineering Cost Model (COSYSMO) to estimate the effect of reuse on systems engineering effort. The overview of systems engineering reuse includes a review of how reuse is handled in other domains and results from an industry survey. The recent developments in COSYSMO presents on-going research in the creation of a reuse extension for the model such as the identification of categories of systems engineering reuse, reuse extensions for the size drivers in the model, and a revised set of cost drivers

Spatial Agglomeration, Technology and Outsourcing of Knowledge Intensive Business Services Empirical Insights from Italy

Aim of this paper is to explore the main drivers of outsourcing of knowledge intensive business services by Italian manufacturing firms. While anecdotal and empirical evidence has emphasized labour cost and scale economies as behind firms’ choices to outsource production or service activities, here we focus on spatial agglomeration and technology as important factors. Using microeconomic data on a repeated cross-section of Italian manufacturing firms for the period 1998-2003, we develop a two-stage model in order to avoid selection bias: first, we estimate the determinants of the firm's decision to outsource business-related services; second, we estimate the main factors underlying the intensity and complexity of KIBS outsourcing, expressed by the number of service activities that are externalized. Our results show that labour cost-savings are not relevant in driving the decision to outsource KIBS, but ICT, R&D and location within a dense and technologically developed industrial district have very positive effects.KIBS, Service Outsourcing, R&D, ICT, Spatial Agglomeration