Software size estimation of object-oriented systems

Laranjeira, Luiz A.

doi:10.1109/32.52774

Cited by 80 publications

(33 citation statements)

References 14 publications

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“…The values of these drivers are identified according to the development context, i.e., type of computer, qualification of personnel staffing, etc. Other techniques following the same path have been compared in Kemerer (1987) and Laranjeira (1990). The drivers usually adopted cannot be easily tuned for tailoring the method for measuring the specifications of real-time systems in formal languages.…”

Section: Expected Systemmentioning

confidence: 99%

“…For noncon- current systems, the class complexity can easily be related to class size, while in the case of real-time systems (where the system behavior is defined by that of many concurrent processes, frequently modeled by means of state machines), these two concepts can be very different. Most of the traditional technical metrics for the estimation of size or complexity have been defined in order to predict the system cost (Fenton, 1991;Laranjeira, 1990). These measurements of size are mainly based on the estimation of the number of Lines Of Code (LOC).…”

Section: Technical Metricsmentioning

confidence: 99%

“…Some studies with metrics and measurement frameworks for object-oriented systems have been presented (Laranjeira, 1990;Meyer, 1990;Panaroni and Musone, 1990;Jensen, 1991;Coulunge and Roan, 1993;Li and Henry, 1993;Henderson-Sellers, 1993;Yap et al, 1993) where general concepts for the estimation of system size, complexity, and reuse level have been proposed. Furthermore, an analysis of the impact of the "reuse, as the most enticing promise" in object-oriented system development has been carried out by Henderson-Sellers (1993).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Metric framework for object-oriented real-time systems specification languages

Nesi

Campanai²

1996

Journal of Systems and Software

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Section: Expected Systemmentioning

confidence: 99%

Section: Technical Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Metric framework for object-oriented real-time systems specification languages

Nesi

Campanai²

1996

Journal of Systems and Software

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“…Several authors (Laranjeira, 1990) (Jenson et al, 1991) suggest that using an object-oriented representation of software allows an earlier estimation of development effort, when compared with "traditional" models, due to the fact that implementation of the system will correlate more directly with its specification. The way to estimate the size and complexity of an OO system starts with the 5 -given, for instance, by n p…”

Section: Ivv -Productivity Metricsmentioning

confidence: 99%

Candidate metrics for object-oriented software within a taxonomy framework

Abreu

Carapuça

1994

Journal of Systems and Software

139

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This paper offers an overview of the state-of-the-art in OO metrics as well as some new contributions. The usefulness of metrics is reviewed. The inappropriateness of "traditional" metrics to encompass development under the OO paradigm is discussed. A framework for classifying metrics is suggested. Metrics are classified along two vectors: category and granularity. The usefulness and rationale behind each category are presented. Candidate metrics are suggested within the proposed framework. Finally, some research directions that require further effort are identified. I -IntroductionObject-Oriented (OO) technology has been pointed out as being one of the keys for solving the software crisis problem. For the past few years we have witnessed a burst in the availability of OO analysis and design methodologies, languages, database management systems and tools. However, little work has been done in the area of management of OO software development.One of the key issues in the management of the development process is the capability to measure and record the relevant attributes of the software products and of the process itself in a structured, coherent framework. The availability of metrics helps managers in the staffing, costing, scheduling and controlling activities of the development life cycle and contributes to the overall objective of software quality. The need for software metrics is now fully recognized by the software engineering community and included in standards like the ISO 9000-3 (ISO, 1991a). This paper is organized as follows: section II reviews the reasons why metrics are needed within the software development process, when using the OO paradigm; section III introduces a classification framework for OO software metrics; section IV analyses the need for each category and introduces one possible selection of metrics; section V attempts to draw some conclusions and to suggest some research directions.

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“…Further evaluation of their approach on two other systems produced similarly accurate estimates once models were tailored to the environments in question. OO system size Laranjeira 1990 Size and effort estimation.…”

Section: Software Sizingmentioning

confidence: 99%