Software development projects have become a challenge for both industry and academia regarding the performance evaluation of teams. Recently, a Stochastic Automata Networks (SAN) model was proposed as theoretical representation for performance prediction of software development teams. In this paper, we present an exercise of such SAN analytical modeling for a practical case study from an Inform...

The Satellite Application Facility for Land Surface Analysis hosted by the Portuguese Meteorological Institute in Lisbon generates and distributes value added satellite products for numerical weather prediction and environmental applications in near-real time. Within the project consortium Météo-France is responsible for the land surface albedo and down-welling short-wave radiation flux product...

On the basis of introducing the origin and development of finite time thermodynamics (FTT), this paper reviews the progress in FTT optimization for internal combustion engine (ICE) cycles from the following four aspects: the studies on the optimum performances of air standard endoreversible (with only the irreversibility of heat resistance) and irreversible ICE cycles, including Otto, Diesel, A...

An approach for constructing an Enterprise Service Bus based Service Oriented Architecture for individual clouds and then considering workflows where services from multiple clouds are used is formulated and a systematic methodology for performance evaluation of the architecture is presented. The participation in this environment is achieved by allowing the SOA to dynamically federate with servi...

In our previous work we proposed Model-Driven Performance Engineering (MDPE) as a methodology to integrate performance engineering into the model-driven engineering process. MDPE enables domain experts, who generally lack performance expertise, to profit from performance engineering by automating the performance analysis process using model transformations. A crucial part of this automated proc...

We describe two approaches to analyzing and tagging team discourse using Latent Semantic Analysis (LSA) to predict team performance. The first approach automatically categorizes the contents of each statement made by each of the three team members using an established set of tags. Performance predicting the tags automatically was 15% below human agreement. These tagged statements are then used ...

Research on Recommender Systems has barely explored the issue of adapting a recommendation strategy to the user’s information available at a certain time. In this thesis, we introduce a component that allows building dynamic recommendation strategies, by reformulating the performance prediction problem in the area of Information Retrieval to that of recommender systems. More specifically, we in...

Developing parallel discrete event simulation programs is a difficult and time consuming process often ending with disappointment as the achieved performance is often lower than expected. Developers need performance prediction tools that are capable of providing information on the future performance of the parallel program prior to implementation. This paper describes a performance analyser too...

Room acoustic indicators of intelligibility have focused on the effects of temporal smearing of speech by reverberation and masking by diffuse ambient noise. In the presence of a discrete noise source, these indicators neglect the binaural listener's ability to separate target speech from noise. Lavandier and Culling [(2010). J. Acoust. Soc. Am. 127, 387-399] proposed a model that incorporates ...

This article describes research conducted to gather empirical evidence on size, character and content of the option space in building design projects. This option space is the key starting point for the work of any climate engineer using building performance simulation who is supporting the design process. The underlying goal is to strengthen the role of advanced computing in building design, e...