Softeam

About: Softeam is a based out in . It is known for research contribution in the topics: Agile software development & Unified Modeling Language. The organization has 26 authors who have published 108 publications receiving 1088 citations.

MODAClouds: a model-driven approach for the design and execution of applications on multiple clouds

Abstract: Cloud computing is emerging as a major trend in the ICT industry. While most of the attention of the research community is focused on considering the perspective of the Cloud providers, offering mechanisms to support scaling of resources and interoperability and federation between Clouds, the perspective of developers and operators willing to choose the Cloud without being strictly bound to a specific solution is mostly neglected. We argue that Model-Driven Development can be helpful in this context as it would allow developers to design software systems in a cloud-agnostic way and to be supported by model transformation techniques into the process of instantiating the system into specific, possibly, multiple Clouds. The MODAClouds (MOdel-Driven Approach for the design and execution of applications on multiple Clouds) approach we present here is based on these principles and aims at supporting system developers and operators in exploiting multiple Clouds for the same system and in migrating (part of) their systems from Cloud to Cloud as needed. MODAClouds offers a quality-driven design, development and operation method and features a Decision Support System to enable risk analysis for the selection of Cloud providers and for the evaluation of the Cloud adoption impact on internal business processes. Furthermore, MODAClouds offers a run-time environment for observing the system under execution and for enabling a feedback loop with the design environment. This allows system developers to react to performance fluctuations and to re-deploy applications on different Clouds on the long term.

Integrated tool chain for model-based design of Cyber-Physical Systems: The INTO-CPS project

Abstract: We describe INTO-CPS, a project that aims to realise the goal of integrated tool chains for the collaborative and multidisciplinary engineering of dependable Cyber-Physical Systems (CPSs). Challenges facing model-based CPS engineering are described, focussing on the semantic diversity of models, management of the large space of models and artefacts produced in CPS engineering, and the need to evaluate effectiveness in industrial settings. We outline the approach taken to each of these issues, particularly on the use of semantically integrated multi-models, links to architectural modelling, code generation and testing, and evaluation via industry-led studies. We describe progress on the development of a prototype tool chain from baseline tools, and discuss ongoing challenges and open research questions in this area.

UML extensions for the specification and evaluation of latency constraints in architectural models

Abstract: UML Specifications provides some guides for the description of performance requirements, but these requirements are represented with natural language constraints. This paper introduces UML extensions for the representation of temporal requirements and resource usage and their automatic evaluation. They are defined using standard UML extension techniques. These standard extensions introduce a set of formal constraints, tagged values and stereotypes, which allow the representation of general latency and capacity quality of service requirements. We have included these extensions in a commercial UML CASE tool that provides scheduling analysis services and results. We use scheduling analysis and simulation techniques in the evaluation.

Continuously Assessing and Improving Software Quality With Software Analytics Tools: A Case Study

Abstract: In the last decade, modern data analytics technologies have enabled the creation of software analytics tools offering real-time visualization of various aspects related to software development and usage. These tools seem to be particularly attractive for companies doing agile software development. However, the information provided by the available tools is neither aggregated nor connected to higher quality goals. At the same time, assessing and improving the software quality has also been the key targets for the software engineering community, yielding several proposals for standards and software quality models. Integrating such quality models into software analytics tools could close the gap by providing the connection to higher quality goals. This paper aims at understanding whether the integration of quality models into software analytics tools provides understandable, reliable, useful, and relevant information at the right level of detail about the quality of a process or product and whether practitioners intend to use it. Over the course of more than a year, four companies involved in this case study deployed such a tool to assess and improve software quality in several projects. We used standardized measurement instruments to elicit the perception of 22 practitioners regarding their use of the tool. We complemented the findings with debriefing sessions held at the companies. In addition, we discussed challenges and lessons learned with four practitioners leading the use of the tool. The quantitative and qualitative analyses provided positive results, i.e., the practitioners' perception with regard to the tool's understandability, reliability, usefulness, and relevance was positive. Individual statements support the statistical findings, and constructive feedback can be used for future improvements. We conclude that the potential for future adoption of quality models within software analytics tools definitely exists and encourage other practitioners to use the presented seven challenges and seven lessons learned and adopt them in their companies.

SPECIFYING SERVICES USING THE SERVICE ORIENTED ARCHITECTURE MODELING LANGUAGE (SOAML) - A baseline for Specification of Cloud-based Services

Abstract: The Service oriented architecture Modeling Language (SoaML) is a new specification from the Object Management Group (OMG) that provides support for modelling services. The SoaML specification defines three different approaches to specifying services; simple interfaces, service interfaces and service contracts. In this paper we provide an overview of the SoaML language constructs and discuss the three different ways to specify services. Furthermore, we provide practical modelling guidelines for how the different SoaML service specification approaches can be aligned and used as a baseline for specifying cloud-based services.