The Defect Management Model Design Based on the Project

2013 ◽  
Vol 318 ◽  
pp. 144-147
Author(s):  
Zhong Ju Chen ◽  
Zhang Qin

The article describes that defect management takes an important effect on developing software project. The general project management models based on defect management has been designed , which on the basis of analyses requirement and workflow of defect management. Referencing the module, project development team can develop defect management software, and by which the team can improve the efficiency of software development and design quality objective.

SpringerPlus ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Saad Yasser Chadli ◽  
Ali Idri ◽  
Joaquín Nicolás Ros ◽  
José Luis Fernández-Alemán ◽  
Juan M. Carrillo de Gea ◽  
...  

This research paper aims an analytical study on the software development organization insight into trending automation technologies and their implementation Software Engineering Management (SEM) processes. Software Project Management (SPM) is a scientific art for planning, controlling execution and monitoring. SPM approaches are more focusing towards the essential requirement for the success of software project development. It has been very challenging to manage software development using existing project management procedures driven by software development organizations and this is one of the areas of problem statement for this research. This paper discusses an analytical study for the requirements and consideration of BPR in SPM, explores to spot and emphasizes the important success factors for the execution of a BPR using benefits of Artificial Intelligence (AI) in software development organization. BPR is organizational mechanism that improves ability to respond to challenges of qualitative result by change and improvement in software engineering processes, productivity, product quality and competitive advantages. AI will be the best approach and scope of automation SEM processes for software development organizations. This paper also represents a conceptual view of software engineering model shift for improvements in capability of project managers to handle agile thinking and problem solving for betterment of SPM using Artificial Intelligence.


2020 ◽  
Vol 6 (3) ◽  
pp. 27-34
Author(s):  
E.J. Robles Gómez ◽  
J.A. Flores Lara ◽  
J.C. Ontiveros Neri

El juego getKanban es una herramienta para enseñar la metodología Kanban y SCRUM de una manera divertida. Facilita la enseñanza de la gestión de proyectos de software a través de un juego de mesa, donde los jugadores aprenden a formular estrategias de gestión de proyectos y las implementan para elaborar proyectos de calidad en tiempo y forma. El presente artículo muestra los resultados de la implementación del juego en una institución educativa de nivel superior, con alumnos de Ingeniería en Sistemas Computacionales de octavo semestre. Se puede apreciar que al utilizar este juego ayuda de manera efectiva a la enseñanza de Kanban y SCRUM, para la gestión de proyectos de software. Por lo cual se recomienda poder implementar este tipo de juegos como estrategia didáctica para la enseñanza/aprendizaje de Ingeniería de Software aplicada a la Gestión de Proyectos de Desarrollo de Software. The game Kanban is a tool to teach the methodology in a fun way. It facilitates the teaching of software project management through where players learn to formulate strategies and implement them to develop quality projects on time Delivery. This article shows the results of the implementation of the game in an educational institution of higher level, with students of Computer Systems Engineering eighth semester. It can be seen that by using this game it helps in an effective way to teach Kanban for the management of software projects. Therefore, it is recommended to be able to implement this type of games as a didactic strategy for the teaching / learning of Software Engineering applied to the Management of Software Development Projects


Author(s):  
Kitti Photikitti ◽  
Kitikorn Dowpiset ◽  
Jirapun Daengdej

It has been well-known that the chance of successfully delivering a software project within an allocated time and budget is very low. Most of the researches in this area have concluded that “user's requirements” of the systems is one of the most difficult risks to deal with in this case. Interestingly, until today, regardless of amount of effort put into this area, the possibility of project failure is still very high. The issue with requirement can be significantly increased when developing an artificial intelligence (AI) system, where one would like the systems to autonomously behave. This is because we are not only dealing with user's requirements, but we must also be able to deal with “system's behavior” that, in many cases, do not even exist during software development. This chapter discusses a preliminary work on a framework for risk management for AI systems development projects. The goal of this framework is to help project management in minimizing risk that can lead AI software projects to fail due to the inability to finish the projects on time and within budget.


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