Factors affecting duration and effort estimation errors in software development projects

Morgenshtern, Ofer; Raz, Tzvi; Dvir, Dov

doi:10.1016/j.infsof.2006.09.006

Cited by 56 publications

(28 citation statements)

References 24 publications

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“…Nevertheless, the advances of Software Engineering (SE) have taken us at least from a chaotic state of the practice [3], to a more inspiring situation where enhanced executive management support and increased user involvement in the Software Development Process (SDP) are appointed as factors for software project success [4].…”

Section: Introductionmentioning

confidence: 99%

The Goals Approach: Enterprise Model-Driven Agile Human-Centered Software Engineering

Valente

Silva

Winckler

et al. 2016

Lecture Notes in Computer Science

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 18843The contribution was presented at HCSE 2016:http://www.hcse-hessd.org/ Abstract. Business Process Improvement (BPI) is a key issue in the development of the enterprise competitiveness. However, achieving a level of software development performance that matches enterprise BPI needs in terms of producing noticeable results in small amounts of time requires the existence of a comprehensive and also agile Software Development Process (SDP). Quite often, SDPs do not deliver software architectures that can be directly used for in-house development, as specifications are either too close to the user interface design or too close to business rules and application domain modeling, and produce architectures that do not cope with software development concerns. In this paper we present the Goals Approach, which structures business processes to extract requirements, and methodologically details them in order to specify the user interface, the business logic and the database structures for the architecture of a BPI. Our approach aims in-house software development in small and medium enterprises.

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Section: Introductionmentioning

confidence: 99%

The Goals Approach: Enterprise Model-Driven Agile Human-Centered Software Engineering

Valente

Silva

Winckler

et al. 2016

Lecture Notes in Computer Science

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show abstract

“…Como tal, su exactitud se ve afectada por el grado de incertidumbre con respecto a la tarea que se estima. La incertidumbre está asociada, entre otras cosas, con las definiciones de los requisitos, elección de la solución Factores que Afectan la Precisión de la Estimación del Esfuerzo en Proyectos de Software Usando Puntos de Caso de Uso tecnológica, innovación de necesidad, y las características del cliente (Morgenshtern, Raz & Dvir, 2007). Luego, la parte más crítica y crucial de estimación de software es cuando se requiere la estimación en las primeras etapas del ciclo de vida del software en el que el problema a resolver no ha sido aun completamente revelado.…”

Section: Estimación De Esfuerzounclassified

Factores que Afectan la Precisión de la Estimación del Esfuerzo en Proyectos de Software Usando Puntos de Caso de Uso

Huanca

Oré²

2017

risti

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Resumen: El éxito de un proyecto de desarrollo de software depende de que el producto obtenido cumpla con las especificaciones del usuario y se termine dentro del plazo y con el presupuesto establecido. Muchos proyectos de software presentan el problema de no estar siendo desarrollados dentro del plazo planificado debido a una mala valoración del esfuerzo o duración del proyecto de software. La presente investigación tiene como objetivo determinar los factores que afectan la precisión de la estimación del esfuerzo en proyectos de software, usando Puntos de Caso de Uso como método de estimación. Un total de 37 estudios primarios fueron seleccionados. Los resultados muestran que los factores ambientales, la complejidad de los casos de uso, la falta de estandarización de los casos de uso, factores técnicos y contabilización de las transacciones son algunos de los factores que afectan la precisión del método de Puntos de Caso de Uso.Palabras-clave: Proyecto de Desarrollo de Software; Puntos de Caso de Uso; Estimación de esfuerzo. Factors Affecting the Accuracy of Effort Estimation in Software Projects Using Use Case PointsAbstract: The success of a software development project depends on that the retrieved product complies with the user's specifications and to be completed within the time and within the budget established. Many software projects show the problem about that they are not being developed within the time set due to a bad assessment of the effort or duration of the software project. This research has the objective of determining the factors that affect the accuracy of the effort estimation in software projects using the Use Case Points as estimation method. A total of 37 primarily studies were selected. The results show that the environmental factors, the use cases complexity, the lack of use case standardization, technical factors and counting transactions are some of the factors that affect the accuracy of the Use Case Points method.

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“…In case of over estimation of time and effort project completion is too late due to lack of resources, which refuses the management to approve that favored project. On the other hand, under estimation may result in approval of projects that will fail to deliver the expected product within the time and budget available [11]. So, there is a need of accurate estimation effort technique at early Stages of software development.…”

Section: Problem Statementmentioning

confidence: 99%

“…On the other hand, underestimation may result in approval of projects that will fail to deliver the expected product within the time and budget available. There are many factors that influence the Software estimation, some of them are: uncertainty, level of detail of preparing the project plan, managerial factors, lack of past data, pressure to lower estimation and estimator experience [11]. In spite of the critical role of accuracy, examples of incorrect estimation abound, especially in IT projects, resulting in enormous waste of time and money.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation

Sandhu¹,

Salaria²

2014

IJCA

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Factors affecting duration and effort estimation errors in software development projects

Cited by 56 publications

References 24 publications

The Goals Approach: Enterprise Model-Driven Agile Human-Centered Software Engineering

The Goals Approach: Enterprise Model-Driven Agile Human-Centered Software Engineering

Factores que Afectan la Precisión de la Estimación del Esfuerzo en Proyectos de Software Usando Puntos de Caso de Uso

A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation

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