scholarly journals A Generic Agent Framework to Support the Various Software Project Management Processes

10.28945/3157 ◽  
2007 ◽  
Author(s):  
Rita Nienaber ◽  
Andries Barnard
Keyword(s):  
Project Management ◽  
High Rate ◽  
Software Project ◽  
Software Project Management ◽  
Software Projects ◽  
Management Processes ◽  
Generic Agent ◽  
Project Management Processes ◽  
Support Software ◽  
Rate Of Failure

Despite various research efforts originating from both academia and industry, software projects have a high rate of failure, more specific, software projects often do not comply with the traditional standard measurements of success, namely time, cost and requirements specification. Thus, there is a need for new methods and measures to support the software project management process. Globalisation and advances in computing technologies has changed the software project management environment. Currently software projects are developed and deployed in distributed, pervasive and collaborative environments and traditional project management methods cannot, and do not, address the added complexities inherent to this environment. In this paper the utilisation of stationary and mobile software agents is investigated as a potential tool to assist with the improvement of software project management processes. In particular we propose and discuss a software agent framework to support software project management. Although still in its initial phases, this research shows promise of significant results in enabling software developers to meet market expectations, and produce projects on time, within budget and to users’ satisfaction.

A Review on Software Project Management Ontologies

2018 ◽  
Vol 9 (4) ◽  
pp. 54-72
Author(s):  
Omiros Iatrellis ◽  
Panos Fitsilis
Keyword(s):  
Project Management ◽  
Literature Review ◽  
Current Knowledge ◽  
Ontology Development ◽  
Software Project ◽  
Domain Modeling ◽  
Software Project Management ◽  
Software Life Cycle ◽  
Management Processes ◽  
Project Management Processes

This article aims to provide the reader with a comprehensive background for understanding current knowledge and research works on ontologies for software project management (SPM). It constitutes a systematic literature review behind key objectives of the potential adoption of ontologies in PM. Ontology development and engineering could facilitate substantially the software development process and improve knowledge management, software and artifacts reusability, internal consistency within project management processes of various phases of software life cycle. The authors examined the literature focusing on software project management ontologies and analyzed the findings of these published papers and categorized them accordingly. They used qualitative methods to evaluate and interpret findings of the collected studies. The literature review, among others, has highlighted lack of standardization in terminology and concepts, lack of systematic domain modeling and use of ontologies mainly in prototype ontology systems that address rather limited aspects of software project management processes.

A Review on Software Project Management Ontologies

2021 ◽  
pp. 27-46
Author(s):  
Omiros Iatrellis ◽  
Panos Fitsilis
Keyword(s):  
Project Management ◽  
Literature Review ◽  
Current Knowledge ◽  
Ontology Development ◽  
Software Project ◽  
Domain Modeling ◽  
Software Project Management ◽  
Software Life Cycle ◽  
Management Processes ◽  
Project Management Processes

This article aims to provide the reader with a comprehensive background for understanding current knowledge and research works on ontologies for software project management (SPM). It constitutes a systematic literature review behind key objectives of the potential adoption of ontologies in PM. Ontology development and engineering could facilitate substantially the software development process and improve knowledge management, software and artifacts reusability, internal consistency within project management processes of various phases of software life cycle. The authors examined the literature focusing on software project management ontologies and analyzed the findings of these published papers and categorized them accordingly. They used qualitative methods to evaluate and interpret findings of the collected studies. The literature review, among others, has highlighted lack of standardization in terminology and concepts, lack of systematic domain modeling and use of ontologies mainly in prototype ontology systems that address rather limited aspects of software project management processes.

scholarly journals Software Quality Management supported by Software Agent Technology

10.28945/2924 ◽  
2005 ◽  
Author(s):  
R. C Nienaber ◽  
A. Barnard
Keyword(s):  
Project Management ◽  
Quality Management ◽  
Software Quality ◽  
Software Agent ◽  
Agent Technology ◽  
Software Project ◽  
Software Project Management ◽  
Software Projects ◽  
Software Quality Management ◽  
Support Software

Software technology and computing resources have evolved and developed considerably over the past years and may be considered as the backbone of many business ventures today. However, the software project management environment has also changed and is continuously evolving. Currently software projects are developed and deployed in distributed, pervasive and collaborative environments. This means that traditional software project management methods cannot, and do not, address the added complexities found in a pervasive, distributed global environment. Projects thus have a high rate of failure. More specifically, software projects often do not comply with the traditional standard measurements of success, namely time, cost and specifications. There is thus a need for new methods and measures to support software project management. In this paper, software agent technology is explored as a potential tool for enhancing software project management practices in general. We propose and discuss a software agent framework, specifically to support software quality management. Although still in its initial phases, research indicates some promise in enabling software developers to meet market expectations and produce projects timeously, within budget and to users’ satisfaction.

scholarly journals Explicit specification framework to manage software project effectively

2020 ◽  
Vol 13 (36) ◽  
pp. 3785-3800
Author(s):  
Kamal Uddin Sarker ◽  
Keyword(s):  
Project Management ◽  
Structural Equation ◽  
Evaluation Process ◽  
Equation Modeling ◽  
Software Project ◽  
Software Project Management ◽  
Rational Analysis ◽  
Software Projects ◽  
Three Layer Architecture ◽  
Management Approaches

Objectives: This research addresses the causal relationship among processes, tasks, resources, and stakeholders of the software projects to improve the success rate that is 31% only now (CHAOS report 2019). Methods: A software project management framework is developed based on the findings of an empirical study on recent commonly used methodologies and root cause analysis on the reasons for project failure. The causeeffect relationship is prioritized by Structural Equation Modeling (SEM) to develop the Explicit Specification Framework (ESF). The framework is tied to the pinpointing with ontology for formal presentation, descriptive logic for unambiguous information specification, and ikigai for decision-making.Findings: The proposed framework is evaluated by a group of experts and their average scope is evaluated by a group comparison mechanism called Grey Rational Analysis (GRA). The evaluation process considered 6 parameters and compared it with 4 commonly used project management approaches. The highest GRA rank is found for the average of six distinct parameters though it is comparatively more complex for explicit documentation. The three-layer architecture of ESF remarks on roles, functions, and respective stakeholders in each layer presented by a comprehensive comparison study with literature and found that it enhances formal practice, sustainability, and management capability. ESF is easy to implement for distributed project management and improving automation facilities in the software industries.Novelty/Application: Artificial intelligence, the Internet of things, and big data would be common elements of a software project and ESF would meet the demand for project information specification, management, and control. Keywords: Software Project Management; Software Quality Control; methodology; multi- criteria decision making; structural educational modeling; ontology

eXtreme Programming, Agile Methodologies, Software Project Management, Customer Role, Rigorous Testing

2022 ◽  
pp. 163-182
Author(s):  
Kamalendu Pal
Keyword(s):  
Project Management ◽  
Software Development ◽  
Extreme Programming ◽  
Acceptance Testing ◽  
Software Project ◽  
Software Project Management ◽  
Software Projects ◽  
Agile Methodologies ◽  
Rigorous Testing ◽  
Software Development Methodologies

Agile software development methodologies are attracting attention from academics and practitioners for planning and managing software projects. The eXtreme Programming (XP) challenges conformist wisdom regarding software system development processes and practices as agile methodologies. To work efficiently in the current software development practice, characterized by requirements fuzziness, XP moves away from document-centric operations into people-centric management. In the XP-based software project, the customers play an essential role, having multiple responsibilities such as driving the project, gathering requirements (‘user stories'), and exercising quality control (or acceptance testing). Besides, the customers must liaise with external project stakeholders (e.g., funding authorities, end-users) while maintaining the development team's trust and the wider business. The success of such software project management practices relies on the quality result of each stage of development obtained through rigorous testing. This chapter describes three characteristics of XP project management: customer role, software testing feedback, and learning.

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