Software development projects still of high failure rates. Different risk management approaches are recommended by researchers and followed by organizations in order to control this failure rate. Current research is focused towards preventive risk management approach that improves the development process. In this study, we introduce a framework that enhances this approach. This framework describes a systematic method towards enhancing preventive risk management throughout the software development process. In this study, we devised sets of risk management strategies and controls that aim at mitigating each of the identified risks in the adapted list. These strategies besides the identified risk factors are utilized and embedded in the right corresponding Software Development Life Cycle phase to construct our preventive framework.
This paper presents a simple parser to parse Arabic sentences. The aim of this parser is to check whether the syntax of an Arabic sentence is grammatically correct or not by constructing new efficient Context-Free Grammar that makes Top-Down technique much valuable. A set of experiments were ran on a dataset contains 150 Arabic sentence. The system achieved an average accuracy of 95%.
System analysis and requirements definition is a risky phase. It is susceptible to different types of risk factors from the initial preliminary investigation till the final delivery of the requirements document. Risks reside in this phase are considered the ones with the highest severity among other phases. Being the first phase in the development process, the occurrence of risks in this phase negatively influences subsequent phases, affects project progress, and has a negative impact on the project outcomes. Thus, managing probable risks in this phase deadly helps project managers control the majority of risks that might arise later in the subsequent phase. In order to manage risks properly, probable risks need to be identified early, then, risk management strategies have to be proposed and followed in order to avoid and mitigate their occurrence. In this paper, a total number of 28 risk factors have been introduced. For each risk factor, a set of management strategies is proposed. The identified factors and strategies were the harvest of brainstorming sessions with senior software practitioners, comprehensive literature survey, plus ready-made checklist and taxonomies. In order to validate our results, correlation analysis had been conducted through a web-based survey. The results confirmed our assumptions in that all of the identified risk factors have positive correlation with project failure.
<p> <span>This paper presents an algorithm and then MATLAB program that can construct and process an image depending on a given database and face recognition technique, which helps in the operations of investigation issues for policemen and in any similar operations, the image gets constructed and implemented as the database is developed. It is found that such image processing operation helps in operations needs quick investigation transactions of some issues like policemen works and operations. The method depends on the given database about the face of the person, the face recognition depends on drawing a face of the given data and then comparing the resulted face with the stored data and find the most closes one and choose it to be its goal. This operation needs a time, it is not real-time operation but the time needed is too short. This method develop a method to make the operation of searching about some unknown person or face faster which helps more all sectors interested in searching about some unknowns in their transactions.</span><span></span> </p> <p> <span></span> </p>
Recently, audio data has increasingly becomes one of the prevalent source of information, especially after the exponential growth of using Internet, digital libraries systems and digital mobile devices. The currently massive amount of audio data stimulates working on developing custom audio retrieval tools to facilitate the audio retrieval tasks. The most familiar audio retrieval systems are based on searching using keyword, title or authors. This study presents the feasibility of using MEL Frequency Cepstral Coefficients (MFCCs) to extract features and Dynamic Time Warping (DTW) to compare the test patterns for Arabic audio news. The study proposes and implements architecture for content based audio retrieval system that is dedicated for the Arabic Audio News. The proposed architecture (ARANEWS) utilizes automatic speech recognition for isolated Arabic keyword speech mode; template based automatic speech recognition approach, MFCCs and DTW. ARANEWS presents a style of retrieval system that based on modeling signal waves and measuring the similarity between features that are extracted from spoken queries and spoken keywords. One of the major components that compose ARANEWS system is feature Database (ARANEWSDB). ARANEWSDB stores the extracted features (MFCCs) from the spoken keywords that are prepared to retrieve Arabic audio news. ARANEWS supports using Query by Humming (QBH) and Query by Example (QBE) instead of using query by text.
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