Applying Combined Efforts of Resource Capability of Project Teams for Planning and Managing Contingency Reserves for Software and Information Engineering Projects

In project management, an important means to reduce risks is to provide adequate quantities of contingency reserve in terms of capital (fund), person, time (person hours), in the estimate of required project resources. Experienced project managers usually provide more accurate estimate of these quantities. The traditional project management methodologies, such as System Development Life Cycle (SDLC), were developed to handle software and information engineering projects of longer duration and larger number of project members. Many projects in modern days have short duration and smaller number of project members. They tend to follow newer methodologies, such as Agile Development, to adapt to the faster changes of modern technologies, processes, and user requirements. For a project manager, gathering information to properly create an effective project plan is like identifying a collection of problems and solving them. Solving problems needs supporting resources, which is analogous to the fact that projects need adequate supporting resources. This paper proposes an approach that applies combined efforts of the resource capabilities of project teams for planning and managing contingency reserves of a modern-day project in software or information engineering

PA163-3-SIGPLAN : generador de escenarios de planeación para la gestión de un proyecto informático- SIGPLAN

El presente trabajo de grado contiene todo el proceso en el cual se desarrolló la solución SIGPLAN, este proyecto es una solución gerencial que le permite a las organizaciones generar escenarios de proyectos informáticos para la planeación de la gestión de proyectos. Este pro-yecto se dividió en seis fases, según lo plantea la metodología Design Science Research [1] las cuales son: 1. Identificar el problema y establecer una motivación. 2. Proponer los objetivos del proyecto. 3. Diseñar y desarrollar los objetivos planteados. 4. Demostrar mediante una prueba de concepto. 5. Evaluar los resultados 6. Comunicar los resultados de todo el proyecto. El proyecto estuvo acompañado por la directora de tesis y la empresa ITAC IT Applications Consulting.The Present final project for graduation contains the whole process in which SIGPLAN solu-tion has been developed, this is a managemet solution that allows the organizations to generate different planning scenarios of information technology projects order to help the project man-agement. Design research project [1]: 1. Identify the problem and establish a motivationed. 2. Propose the objectives of the project. 3. Design and develop the purposes. 4. To prove by proof of concept. 5. Evaluate the results 6. Communicate the results of the whole project. The project was accompanied by the thesis director and ITAC - IT Applications Consulting.Magíster en Ingeniería de Sistemas y ComputaciónMaestrí

Improving project management planning and control in service operations environment.

Projects have evidently become the core activity in most companies and organisations where they are investing significant amount of resources in different types of projects as building new services, process improvement, etc. This research has focused on service sector in attempt to improve project management planning and control activities. The research is concerned with improving the planning and control of software development projects. Existing software development models are analysed and their best practices identified and these have been used to build the proposed model in this research. The research extended the existing planning and control approaches by considering uncertainty in customer requirements, resource flexibility and risks level variability. In considering these issues, the research has adopted lean principles for planning and control software development projects. A novel approach introduced within this research through the integration of simulation modelling techniques with Taguchi analysis to investigate ‗what if‘ project scenarios. Such scenarios reflect the different combinations of the factors affecting project completion time and deliverables. In addition, the research has adopted the concept of Quality Function Deployment (QFD) to develop an automated Operations Project Management Deployment (OPMD) model. The model acts as an iterative manner uses ‗what if‘ scenario performance outputs to identify constraints that may affect the completion of a certain task or phase. Any changes made during the project phases will then automatically update the performance metrics for each software development phases. In addition, optimisation routines have been developed that can be used to provide management response and to react to the different levels of uncertainty. Therefore, this research has looked at providing a comprehensive and visual overview of important project tasks i.e. progress, scheduled work, different resources, deliverables and completion that will make it easier for project members to communicate with each other to reach consensus on goals, status and required changes. Risk is important aspect that has been included in the model as well to avoid failure. The research emphasised on customer involvement, top management involvement as well as team members to be among the operational factors that escalate variability levels 3 and effect project completion time and deliverables. Therefore, commitment from everyone can improve chances of success. Although the role of different project management techniques to implement projects successfully has been widely established in areas such as the planning and control of time, cost and quality; still, the distinction between the project and project management is less than precise and a little was done in investigating different levels of uncertainty and risk levels that may occur during different project phase.United Arab Emirates Governmen

BIM-Based Life Cycle Sustainability Assessment for Buildings

In recent years, the progress of digitization in the architecture and construction sectors has produced enormous advances in the automation of analysis and evaluation processes. This is the case with environmental analysis systems, such as the life cycle analysis. Methodology practitioners have found a fundamental ally in the building information modeling platforms, which allow tasks that conventionally consume large amounts of energy and time to be carried out more automatically and efficiently. In this publication, the reader will find some of the latest advances in this area