Simulation and comparison of Albrecht's function point and DeMarco's function bang metrics in a CASE environment

Rask, R.; Laamanen, P.; Lyyttinen, K.

doi:10.1109/32.238567

Cited by 16 publications

(2 citation statements)

References 11 publications

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“…Some studies were focused on evolving the process of function point analysis [1], [6]- [16]while other studies focused on automation of all or some of the processes involved in FPA [5], [17]- [19]. The articles, which were attempting to extend and evolve FPA generally, structured their research to compare one or more aspects of the new process they were developing against the previously established best practices for performing FPA.…”

Section: A Research Methodologies Used To Study Fpamentioning

confidence: 99%

On XML Based Automated Function Point Analysis: An Effective Method to Assess Developer Productivity

Lent¹,

Qu²

2015

LNSE

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Abstract-This article proposes a novel approach to objectively measure developer productivity and individual contribution to development projects using automated function point analysis (integrated with source control system (SCS) and continuous integration (CI)).Automated function point analysis is a central tenant required in this approach. The method proposed herein relies on pattern matching to identify and group fields in to internal logical files, external inputs, external outputs, and external query objects which can be used to identify the objective size of software. Unlike earlier automated functional sizing algorithms, the method proposed is applicable to any application source code that expresses its user interface in well-formed extensible markup language (XML). This study shows that a prototype implementation of the proposed automated counting method is capable of providing a reliable and consistent relative size of existing software (accurate to +/-6.65% and 5000 times faster), and goes on to explain how this method can be integrated with existing requirements engineering tools, source control systems and continuous integration tooling in order to produce an objective measure of software developer output compared to estimates established during requirements gathering and planning that exceeds the common, subjective means that are in use in many organizations today.

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Section: A Research Methodologies Used To Study Fpamentioning

confidence: 99%

On XML Based Automated Function Point Analysis: An Effective Method to Assess Developer Productivity

Lent¹,

Qu²

2015

LNSE

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“…That is to say, data generation is started not from the metric data generation but from the generalized SDL applications generation. This approach is similar to [20]. We will apply the hybrid metric models and the backpropagation model trained using the improved training data to real projects from different organizations to investigate the generality of these models.…”

Section: Discussionmentioning

confidence: 99%

Criticality prediction models using SDL metrics set

Hong

Wu²

Proceedings of Joint 4th International Computer Science Conference and 4th Asia Pacific Software Engineering Conference

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This paper focuses on the experiences gained from defining design metrics f o r SDL and comparing three prediction models f o r identifying the most fault-prone entities using the defined metrics. Three sets of design complexity metrics f o r SDL are defined according to two design phases and SDL entity types. Two neural net based predicfion models and a model using the hybrid metrics are implemented and compared by a simulation. Though the backpropagation model shows the best prediction results, the selection method in hybrid complexity order is expected to have similar performance with some supports. Also two hybrid metric forms (weighted sum and weighted multiplication) are compared and it is shown that two metric forms can be used interchangeably f o r ordinal purpose.

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