scholarly journals FPA evaluation of digital projects using IFPUG Method

2020 ◽  
Vol 6 (Extra-A) ◽  
pp. 230-238
Author(s):  
Mikhail Evgenievich Kosov ◽  
Gevorg Tevosovich Malashenko ◽  
Olga Alekseevna Grishina ◽  
Sergey Yuryevich Popkov ◽  
Vladimir Mikhailovich Smirnov

This article considers Function Point Analysis (FPA) as a tool for price substantiation and specification of liabilities for development of digital project, since each new project in the company is analyzed. Information acquired during the analysis forms basis for adoption of critical decisions regarding complexity, resources, frames, terms, expenses, etc. Even strictly defined projects may fall out at later stages without accurate analytical method. Reducing risks of software projects is the most important issue. In general, this starts from definition of exact measures regarding scale, productivity, duration, quality, and other key performances of project efficiency. Advanced methods of analysis, such as FPA, provide clear presentation of each of these metrics related mainly with the amount of project, personnel, expenses and time, which supports management, control, adjustment of software development at early stages of planning.

Author(s):  
Marcos Ruano-Mayoral ◽  
Ricardo Colomo-Palacios ◽  
Ángel García-Crespo ◽  
Juan Miguel Gómez-Berbís

Despite the clear relevance of the Information and Communications Technologies (ICT) market in world economics and the evident lack of success of software projects, organizations devote little effort to the development and maturity of the software project manager profession. This work analyzes the figure of project manager from the perspective of the Team Software Process (TSP), and it considers the required skills, attitudes and knowledge for a software development project. The basis for the study is the analysis of relevant references from the literature for their subsequent categorization into different competency concepts. The results of the analysis are compared with the contributions which the Guide to the SWEBOK® and the PMBOK® Guide models provide of the profiles of the project manager. The results indicate that the literature relating to the Team Software Process is focused on the definitions of skills and attitudes, and to a lesser extent on knowledge components. The lack of the definition of the components which comprise competency constitutes a challenge for software development organizations that use TSP, whose project managers should confront the task with full capacities, and without the help of established and recognized competencies. The current work attempts to establish the competencies for project managers identified in the literature, in the environment of the use of TSP for software development, using a study based on content analysis.


2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Javier Alfonso-Cendón ◽  
Manuel Castejón Limas ◽  
Joaquín B. Ordieres Meré ◽  
Juan Pavón

This paper analyses the effect of the effort distribution along the software development lifecycle on the prevalence of software defects. This analysis is based on data that was collected by the International Software Benchmarking Standards Group (ISBSG) on the development of 4,106 software projects. Data mining techniques have been applied to gain a better understanding of the behaviour of the project activities and to identify a link between the effort distribution and the prevalence of software defects. This analysis has been complemented with the use of a hierarchical clustering algorithm with a dissimilarity based on the likelihood ratio statistic, for exploratory purposes. As a result, different behaviours have been identified for this collection of software development projects, allowing for the definition of risk control strategies to diminish the number and impact of the software defects. It is expected that the use of similar estimations might greatly improve the awareness of project managers on the risks at hand.


Author(s):  
CHAMUNDESWARI ARUMUGAM ◽  
CHITRA BABU

Software size estimation at the early analysis phase of software development lifecycle is crucial for predicting the associated effort and cost. Analysis phase captures the functionality addressed in the software to be developed in object-oriented software development life-cycle. Unified modeling language captures the functionality of the software at the analysis phase based on use case model. This paper proposes a new method named as use case model function point to estimate the size of the object-oriented software at the analysis phase itself. While this approach is based on use case model, it also adapts the function point analysis technique to use case model. The various features such as actors, use cases, relationship, external reference, flows, and messages are extracted from use case model. Eleven rules have been derived as guidelines to identify the use case model components. The function point analysis components are appropriately mapped to use case model components and the complexity based on the weightage is specified to calculate use case model function point. This proposed size estimation approach has been evaluated with the object-oriented software developed in our software engineering laboratory to assess its ability to predict the developmental size. The results are empirically analysed based on statistical correlation for substantiating the proposed estimation method.


Author(s):  
CUAUHTÉMOC LÓPEZ-MARTÍN ◽  
ALAIN ABRAN

Expert-based effort prediction in software projects can be taught, beginning with the practices learned in an academic environment in courses designed to encourage them. However, the length of such courses is a major concern for both industry and academia. Industry has to work without its employees while they are taking such a course, and academic institutions find it hard to fit the course into an already tight schedule. In this research, the set of Personal Software Process (PSP) practices is reordered and the practices are distributed among fewer assignments, in an attempt to address these concerns. This study involved 148 practitioners taking graduate courses who developed 1,036 software course assignments. The hypothesis on which it is based is the following: When the activities in the original PSP set are reordered into fewer assignments, the result is expert-based effort prediction that is statistically significantly better.


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