There is an explosion of different software platforms and protocols used to achieve systems interoperation. Among those platforms are the e-government transactions systems used mainly by public sector organizations to deliver demanded services to citizens. This scenario brings the appearance of communications gap among public organizations that share common processes, services, and regulations....

Mathematical subroutine libraries for science and engineering applications are an important tool in high-performance computing. By identifying and optimizing frequently used, numerically intensive operations, these libraries help in reducing the cost of computation, enhancing portability, and improving productivity. The Digital eXtended Math Library is a set of public domain and Digital proprie...

UNLABELLED The Bayesian Estimator of Protein-Protein Association Probabilities (BEPro aff3) is a software tool for estimating probabilities of protein-protein association between bait and prey protein pairs using data from multiple-bait, multiple-replicate, protein liquid chromatography tandem mass spectrometry LC-MS/MS affinity isolation experiments. AVAILABILITY BEPro (3) is public domain s...

The size, complexity and long 1 ife-time of telecommunications software, e.g. the programs for store program control (SPC) telephone exchanges, call for an increased software productivi ty and maintainability other than an improved qua1 ity. The availability of programming support environments based on standardized specification and programming languages greatly improves the software developmen...

Field Programmable Gate Arrays (FPGAs) are becoming increasingly popular for use within high integrity and safety critical systems. One commonly used coding language for their configuration is the VHSIC Hardware Description Language (VHDL). Whilst VHDL is used for hardware description, it is developed in a similar way to traditional software, and many safety critical software certification stan...

Machine Learning approaches are good in solving problems that have less information. In most cases, the software domain problems characterize as a process of learning that depend on the various circumstances and changes accordingly. A predictive model is constructed by using machine learning approaches and classified them into defective and non-defective modules. Machine learning techniques hel...

The majority of public domain software tools is endowed with programmer-oriented interfaces and, as a consequence, they are mainly devoted to "hackers" or specialized programmers. This paper concerns the development of an active interface used to make the utilization of a free software for ltering e-mail messages easy. A multi-agent implementation of an interface is proposed that from one side ...