• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.17-22
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• 2024

Software cost and schedule estimation is usually based on the estimated size of the software. Advanced estimation techniques also make use of the diverse factors viz, nature of the project, staff skills available, time constraints, performance constraints, technology required and so on. Usually, estimation is based on an estimation model prepared with the help of experienced project managers. Estimation of software cost is predominantly a crucial activity as it incurs huge economic and strategic investment. However accurate estimation still remains a challenge as the algorithmic models used for Software Project planning and Estimation doesn't address the true dynamic nature of Software Development. This paper presents an efficient approach using the contemporary Constructive Cost Model (COCOMO) augmented with the desirable feature of fuzzy logic to address the uncertainty and flexibility associated with the cost drivers (Effort Multiplier Factor). The approach has been validated and interpreted by project experts and shows convincing results as compared to simple algorithmic models.

• Management & Information Systems Review
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• v.25
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• pp.275-296
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• 2008

We tested the relationship of elements in influence about software performance. our research is detect the significant element in the software system. we affronted to find relation elements with software quality and seek what relationship is the most important in performance activity. this study's result will be useful for them ; first, give to product a high quality guide line to software developer. second, it will be use for basic information about in software examine research.

• The KIPS Transactions:PartD
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• v.11D no.2
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• pp.387-396
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• 2004

Qualify of software development project is very important in complex and large domestic software market. Software development companies are eager to Bet some quality certification such as CMM certification. However, reliability and effectiveness of CMM certification tomes into question. This study explores the relationships between software project Quality (and some organizational performance) and organization's CMM certification. The result shows no strong relationships between project quality and CMM certification. This may imply that an incremental improvement of project process plays a more important role than certification process itself.

• Journal of Construction Engineering and Project Management
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• v.6 no.3
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• pp.14-21
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• 2016

One of the major issues in the material-based or acceptance quality characteristics asphalt pavement Quality Assurance (QA) is that the method does not have rationality to link between the individual materials and the projected performance of the pavement. A new asphalt mix QA method has been recently developed under a national research project using the probabilistic Performance Related Specification (PRS). This advanced PRS QA methodology integrates the AASHTOWare Pavement ME Design$^{(R)}$ technology with the simple performance test concept that bridges the material characteristics with the pavement performance. This paper presents a case study of asphalt pavement performance using the developed PRS QA computer program, named Quality Related Specification Software (QRSS), with an actual pavement project, to demonstrate the developed PRS procedure and to assess the robustness of QRSS in terms of the rationality of the distress predictions. The results of this limited case study show that the new PRS QA method reasonably predicts the pavement performance, properly applied the probabilistic methods, and produced rational pay adjustment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.276-287
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• 2021

Project Management Information System (PMIS) is a special purpose information system that is created to provide useful information for project managers and participants to make effective and efficient decision making during projects. The use of PMIS is increasing in project based industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project management performance. However, it is unclear what are the difference of PMIS impacts between industries, and still need to be studied further. The purpose of this study is to compare the impact of PMIS on project management performance between industries. We assume that the effects of PMIS will be different depending on the industry types. Five hypotheses are established and tested by using statistical methods. Data were collected by using a survey questionnaire from those people who had experience of using PMIS in various project related industries such as construction, defense, manufacturing, software development and telecommunication. The survey questionnaire consists of 5 point scale items and were distributed through e-mails and google drive network. A total of 181 responses were collected, and 137 were used for analysis after excluding those responses with missing items. Statistical techniques such as factor analysis and multiple regression are used to analyze the data. Summarizing the results, it is found that the impacts of PMIS quality on the PM performance are different depending on the industry types where PMIS is used. System quality seems to be more important for improving the PM performance in construction industry while information quality seems more important for manufacturing industry. As for the ICT and R&D industries, PMIS seems to have relatively lesser impact compared to construction and manufacturing industries.

• The Journal of Information Systems
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• v.28 no.1
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• pp.73-96
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• 2019

Purpose The purpose of this study is to examine the effect of communication-structure characteristics on performance in online collaboration using the data from Github, one of representative open source software development platforms. We analyze the impact of in-degree/out-degree centralization and reciprocity of communication network on collaboration performance in each project. In addition, we investigate the moderating effect of owner types, an individual developer or an organization. Design/methodology/approach We collect the data of 838 Github projects, and conduct social network analysis for measuring in-degree/out-degree centralization and reciprocity as independent variables. With these variables, hierarchical regression analysis is employed on the relationship between the characteristics of communication structure and collaborative performance. Findings Our results show that for the project owned by an organization, the centralized structure of communication is not associated with the collaboration performance. In addition, the reciprocity is positively related to the collaboration performance. On the other hand, for the project owned by an individual developer, the centralized structure of communication is positively related to the performance, and the reciprocity does not show the positive relationship on the performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.230-239
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• 2021

There is a growing interest in project management knowledge, project management information systems, and process improvement to systematically project execution in public sectors, achieve high performance and value, and increase the effectiveness of the overall industry. In particular, the software industry is a knowledge-intensive industry centered on professional manpower. This study examines the effect of the project managers' competences of regional SW promotion agencies on and project performance and the moderating effect of the level of project management maturity. We collected data using a questionnaire to the project managers of regional SW promotion agencies. In this study, a structural equation model was used to analyze the relationship between project managers' competences and performance. In addition, a multi-group structural equation model was used to analyze the moderating effect according to the high and low project maturity. As a result of the analysis, it was found that only contextual competence among the competences of the project manager had a positive effect on project performance. It was found that technical and behavioral competence did not have a positive effect on management and completion performance. It was found that the moderating effect according to the maturity of business management of local institutions was not significant.

• Knowledge Management Research
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• v.18 no.4
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• pp.287-306
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• 2017

This research focus on the effect of developers' participation structure in knowledge creation and knowledge sharing activities in open source software development projects. Based on preferential selection theory, hypotheses of relationship between a developers' concentration of knowledge creation/sharing activities and collaboration performance was derived. To verify the hypotheses, we use the Gini coefficient in the commit contribution of the developers (knowledge creation) and the centralization index in the repository issue network (knowledge sharing network). Using social network analysis, this paper calculates centralization index from developers in the issue boards in each repository based on data from 837 repositories in GitHub, a leading open source software development platform. As a result, instead of all developers creating and sharing knowledge equally, only a few of developers creating and sharing knowledge intensively further improve the performance of the open collaboration. In other words, a few developers predominantly providing commit and actively responding to issues raised from other developers enhance the project performance. The results of this study are expected to be used by developers who manage open source software project as a governance strategy, which could improve the performance of open collaboration.

• Journal of KIISE:Software and Applications
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• v.31 no.1
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• pp.20-28
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• 2004

Estimation of software project cost, effort, and duration in the early stage of software development cycle is a difficult and key problem in software engineering. Most of development effort and duration estimation models presented by regression model of simple relation function point vs. effort and effort vs. duration instead of considering developer's productivity. But different project have need for different effort according to developer's productivity if the projects are same software size. Also, different duration takes according to developer's productivity if the projects require the same effort. Therefore, models that take into account of productivity have a limited application in actual development project. This paper presents models that can be estimate the duration according to productivity in order to compensate a shortcoming of the previous models. Propose model that could presume development period by various methods based on productivity and compared models' performance. As a result of performance comparison, an estimating model of development period from software size got simple and most good result. The model gives decision-making information of development duration to project management in the early stage of software life cycle.

• Journal of Advanced Navigation Technology
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• v.15 no.4
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• pp.609-615
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• 2011

In recent public institutions and banks to improve competitiveness in the integration of information systems projects are larger in size and may be the project's ever-growing need appropriate software project management plan. However, between the effect of the project management area for systematic research was scarce. Through this study, previous research in the important area of project management is developed, and "scope, schedule, quality, human resources, risk" of each area of impact analysis and the interaction between the progress of each area, the planning, execution, completion Performance levels were analyzed separately. Affected and Performance Analysis of the results to assess the level of the project management model is presented.