Abstract As the number of applications that depend on the architectural design of an enterprise increases, modelling business process architecture has become essential. In this paper we adapt the concept of reverse-engineering to derive business process architecture from business process models. Specifically, we present a method to derive a Riva-based business process architecture from a given set of business process models.... As the number of applications that depend on the architectural design of an enterprise increases, modelling business process architecture has become essential. In this paper we adapt the concept of reverse-engineering to derive business process architecture from business process models. Specifically, we present a method to derive a Riva-based business process architecture from a given set of business process models. The presented method is demonstrated using a real case study, the Cancer Care and Registration in Jordan. Read More Read Less

Abstract Watershed areas in underdeveloped countries are strategic resources for agriculture and domestic purposes. These sheds are not adequately protected from contamination, caused by anthropogenic activities. The contaminated water is adversely affecting the ecosystem. So the quality parameter is of serious concern for all water resources management authorities. Conventional methods cannot cope with the root cause analysis of water reservoir contamination.... Watershed areas in underdeveloped countries are strategic resources for agriculture and domestic purposes. These sheds are not adequately protected from contamination, caused by anthropogenic activities. The contaminated water is adversely affecting the ecosystem. So the quality parameter is of serious concern for all water resources management authorities. Conventional methods cannot cope with the root cause analysis of water reservoir contamination. For cost effective and predictive water management, it is essential to analyze different aspects of water quality with emerging modeling, mining and learning techniques. The quality indices are analyzed by the combination of supervised and un-supervised machine learning techniques. As a case-study we selected the Rawal watershed area used for irrigation and domestic purposes of twin city Islamabad and Rawalpindi of Pakistan. Different regression models based on monthly and quarterly datasets, to check the seasonal water quality trends were developed. In order to determine how much parameter satisfies the WHO quality standards, the parametric satisfactory analysis was carried out. For quality indexing, Hierarchical Clustering and Multilayer Perceptron have been found more accurate techniques. Higher values of fecal coliforms were found in the months of March, June, July, and October. Read More Read Less

Abstract “Personal Software Process (PSP)” strongly addresses the need for risk analysis at high level design for individual engineer. However, it does not provide process for risk analysis. Also, many researchers consider architectural analysis essential for software developers. Therefore, Personal Integrated Process was designed to address the need for risk analysis and cost estimation at system level for individual engineer. It... “Personal Software Process (PSP)” strongly addresses the need for risk analysis at high level design for individual engineer. However, it does not provide process for risk analysis. Also, many researchers consider architectural analysis essential for software developers. Therefore, Personal Integrated Process was designed to address the need for risk analysis and cost estimation at system level for individual engineer. It provides an improved risk identification and mitigation process with the capabilities of software project cost estimation at architecture level. A case study was designed to evaluate the effectiveness of proposed process. The impact of architecture design and evaluation on risk identification and cost estimation was determined by applying Personal Integrated Process. Software technical risks such as performance risks, availability risks, reliability risks, security risks were identified and mitigated successfully by applying this process. Software project cost was also estimated at architecture level and then compared with the actual project cost by applying this improved process. The scope of this research paper is to highlight results of the case study regarding cost estimation. This paper highlights cost estimation process in detail as it is the extended form of the previously published conference publication. It introduces an improved risk analysis and cost estimation process for individual software system engineer. Read More Read Less

Abstract This paper has a specific objective of being useful for showing how the advances in mobile technologies can help for solving social and political aspects involved in the reform of subsidies in developing countries. It describes the work done to build a mobile-based supportive network that integrates all subsidies partners: governmental, non-governmental organizations, merchants, and beneficiaries. One main contribution of... This paper has a specific objective of being useful for showing how the advances in mobile technologies can help for solving social and political aspects involved in the reform of subsidies in developing countries. It describes the work done to build a mobile-based supportive network that integrates all subsidies partners: governmental, non-governmental organizations, merchants, and beneficiaries. One main contribution of this work is the setting of a framework for identifying the requirements of subsidies distribution information systems. In the proposed approach, seven domains were identified to build a Mobile Subsidizing Business Model (MSBM). Based on MSBM, detailed requirements were gathered in three stages, with each having its appropriate methodology. In this work, we focus on the layered architecture implementation of the subsidizing mobile system to breakdown the complexities, which are due to variations of mobile technologies, different business rules, and multiple distribution scenarios. Read More Read Less