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Object-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010 BH12 5BB. UKEmai 1: mshepper®Bournemouth.ac.ukhttp://dec.bournemouth.ac.uk/ESERG/This updated bibliography is copyright of Bournemouth University. The bibliography may be copied and distributed freely for non-profit making purposes, provided this copyright is acknowledged and this copyright notice P._Ferdinando__A_Translation_History_of_Fontaneda__2010is attached to any copies made.[1]Aarsten. A. and M. Morisio. ’Using object oriented teclmology to measure the software process’, in Proc. Proc, ỉrdinP._Ferdinando__A_Translation_History_of_Fontaneda__2010
pint Confon Achieving Qualify in Soft" are. Firenze. Italy: 1996.Keywords: Man. QualAbstract: "This paper reports on how object-oriented concepts and Object-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010iment. Measurement IS considered as a full scale project consisting of 1 > modelling the software process. 2) defining goals for the project. 3) formalizing goals in process measures defined on the process model. 4) designing the technological suppoit for measures (procedures and took, repositor)'). P._Ferdinando__A_Translation_History_of_Fontaneda__2010 5) implementing the technological support. 6( implementing the measurement process. 7) assessing the measurement process, modifying it. if needed. ThP._Ferdinando__A_Translation_History_of_Fontaneda__2010
e object-oriented approach has been applied in 1.4 and 5. The process model is defined using OMT: process measures are defined using a query language Object-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010stent C++ classes; process measures are manually translated in C++ functions members of the persistent classes. The advantages of applying the 00 approach are discussed; sharing of tools, training, know-how and mindset with the rest of the pioject: ease in changing measures to adapt to changes in th P._Ferdinando__A_Translation_History_of_Fontaneda__2010e process, thus possibility of applying an evolutionary incremental lifecycle to the measurement process; lower effort in (he implementation of the teP._Ferdinando__A_Translation_History_of_Fontaneda__2010
chnological support for measurement."Notes: Maurizio Morisio is at morisio@polito.it. See also [Morisio. 1995. ’’A methodology to measure the softwareObject-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010ity. 1994.Keywords: Prod. Des. EmpAbstract: See also Ojha and McGregor. 1994. The measurement of software complexity has been a keyinterest of software engineers for many years. However, design metrics for the object-oriented paradigm havebeen little studied. We propose a metric for measuring the nu P._Ferdinando__A_Translation_History_of_Fontaneda__2010mber and strength of the object interactions permitted by an object-oriented design and show that this metric is usefill for predicting experts' desigP._Ferdinando__A_Translation_History_of_Fontaneda__2010
n preferences. The metric is derived from the design information captured in class definitions and hence can be calculated relatively early in the devObject-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010icable to class definitions ■ interaction level and interface size - and the derivation of the metric shows how these two measures relate to the pioposed metric. To validate the metric, we prepared located 9 sets of 2 or 3 design alternatives and subjected these to evaluation by both the proposed me P._Ferdinando__A_Translation_History_of_Fontaneda__2010tric and a collection of object-oriented design experts. We found that the expens' preferred alternatives and the alternatives preferred by the metricP._Ferdinando__A_Translation_History_of_Fontaneda__2010
agreed in 16 of 20 cases, thereby providing evidence of the predictive power of the metric.Notes: The TR is available by anon ftp: ftp: ftp.cs.clemsoObject-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010er Science Conference. ACM. New York. NY. USA. 1992.Keywords: Des. Emp. ProdAbstract: Object-oriented analysis is the newest component of a proposed object-oriented software life cycle methodology. In this paper, we make comparisons between the standard data flow diagram (DFD) models and the newly i P._Ferdinando__A_Translation_History_of_Fontaneda__2010ntroduced object models within the context of an existing moderately complex (approx. 65.000 lines) software project. In particular, we compare the coP._Ferdinando__A_Translation_History_of_Fontaneda__2010
mplexities of competing models for the project domain using some simple metrics.[4]Abreu. F. B. 'Metrics for Object-Oriented Development*. in Proc. PrObject-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010rics adapted to the Object-Oriented (001 paradigm to help manage and foster quality' in software development. This paper reviews the usefulness of metrics, discusses some inadequacies of "traditional" metrics to encompass development under the 00 paradigm and proposes a framework for classifying oo P._Ferdinando__A_Translation_History_of_Fontaneda__2010metrics. In this framework, metrics are classified along two independent vectors: category and granularity. The rationale behind each category is presP._Ferdinando__A_Translation_History_of_Fontaneda__2010
ented. Candidate metrics are suggested within the referred framework. Finally, some research directions that require further effort are identified.[5]Object-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010otation from c. Gibbon.Unfortunately, a little too sparse owing to the restrictions on the OOPSLA’94 Workshop. He releases the need for external and internal attributes. Presents copious mathematical notations to encompass metrics pertaining to encapsulation, polymorphism, information hiding, messag P._Ferdinando__A_Translation_History_of_Fontaneda__2010e passing, inheritance and reuse. Furthermore.the paper lists a set of criterion which design metrics should fulfil.[61 Abreu, F. B. 'Object-orientedP._Ferdinando__A_Translation_History_of_Fontaneda__2010
software engineering: measuring and controlling the development process', in Proc 4ih International Conference on Software Quality Washington DC AmeriObject-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010 hiding and polymorphism. These are envisaged as aids to setting design standards, making comparisons and to the management of projects.[7]Abreu, F. B., 'Design Quality Metrics for Object-Oriented Software Systems'. ERCIM News, (23), 1995.Keywords: Des. ProdNotes: Also available from http: www-ercim P._Ferdinando__A_Translation_History_of_Fontaneda__2010.inria.fr publication Ercim_News enw23.abreu.html[8]Abreu. F. B. and R. Carapuca, 'Candidate Metrics for Object-Oriented Software within a Taxonomy FrP._Ferdinando__A_Translation_History_of_Fontaneda__2010
amework'. J. of Systems <Ê Software. 26. ppS7-96. 1994.Keywords: Des. RevAbstract: This ankle offers an overview of the state of the art in object-oriObject-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010development under the 00 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 mettles are suggested within the proposed framework. Finally, P._Ferdinando__A_Translation_History_of_Fontaneda__2010 some research directions that require further effort are identified.Notes: Introduces the TAPROOT framework (TAxonomy PRecis for Object-Oriented meTrP._Ferdinando__A_Translation_History_of_Fontaneda__2010
ics) which has two axes, category and granularity, rhe categories arc: design: size; complexity: reuse: productivity: and quality, rhe granularities aObject-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University Poole P._Ferdinando__A_Translation_History_of_Fontaneda__2010se some[9]Abreu. T. B.. R Esteves, et al. 'The design of Eiffel programs: quantitative evaluation using the MOOD metrics’, in Proc T(X)l.S'96. Santa Barbara. California, l.SA: 1996.Keywords: Des. Prod. EmpL10J Abreu, r B. R. Esteves, et al.. The design of Eiffel programs: quantitative evaluation usi P._Ferdinando__A_Translation_History_of_Fontaneda__2010ng the MOOD metrics. Technical Report, INFSC, 1995.Object-Oriented Metrics: an Annotated Bibliography Empirical Software Engineering Research Group Department of Computing Bournemouth University PooleGọi ngay
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