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COAR Access Rights: metadata only accessSubject: Functional Size Measurement

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Now showing 1 - 3 of 3
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    Citation - Scopus: 3
    Pl Fsm: an Approach and a Tool for the Application of Fsm in Spl Environments
    (Ieee, 2015) Eren, Onder; Ozkan, Baris; Demirors, Onur
    In order to develop cost-efficient software it is crucial to measure the accurate software size. However; measuring the software size has up to now been almost entirely a manual process and, as such, is both time-consuming and prone to human error which can end up with time and money loss. Automation of this process is a must for the software developing companies to improve the quality of project and budget planning. This paper introduces a mapping between COSMIC concept elements and UML conceptual elements and an automation tool in order to capture the information needed for functional software size measurement from UML diagrams in a component based software product line environment (CBPL) that are structured in accordance with the interface based design (IbD) method. The mapping and the tool combined is called PL FSM. The results obtained by manual measurement and automated measurement are compared and the results are observed to be close. As a result of this study, PL FSM approach is validated in CBPL environment at the design stage of software development process. The case studies have been carried out in embedded systems domain.
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    Citation - WoS: 2
    On the Seven Misconceptions About Functional Size Measurement
    (Ieee, 2016) Ozkan, Baris; Demirors, Onur
    Among the various approaches to software size measurement, Functional Size Measurement has been widely recognized for its usability in early phases of software development cycles and its independence from implementation language, development method and technology. Starting from its introduction with the original Function Point Analysis method in 1979, functional size has been a favored input to estimation and productivity models. As a result of the search for solutions to emerging measurement needs and the advancements in the discipline of software measurement, FSM concepts have been redefined and measurement methods have matured with notable contributions from the ISO standardization process. Despite the progress towards an unambiguously defined and versatile measure in software engineering, several misconceptions about FSM in software community keep on leading to misuse of functional size and unproductive measurement practices. While such misperceptions results in disappointment and wasted resources, an important consequence is the disinterest in FSM. In this paper, we elaborate seven misconceptions in FSM. We review functional size and FSM by discussing the misconceptions. Our purpose is to give a state-of-the-art presentation of functional size and to guide software practitioners and researchers in applying FSM principles properly in their practices and software engineering methods and models.
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    Citation - Scopus: 8
    On the Seven Misconceptions About Functional Size Measurement
    (Institute of Electrical and Electronics Engineers Inc., 2017) Ozkan,B.; Demirors,O.
    Among the various approaches to software size measurement, Functional Size Measurement has been widely recognized for its usability in early phases of software development cycles and its independence from implementation language, development method and technology. Starting from its introduction with the original Function Point Analysis method in 1979, functional size has been a favored input to estimation and productivity models. As a result of the search for solutions to emerging measurement needs and the advancements in the discipline of software measurement, FSM concepts have been redefined and measurement methods have matured with notable contributions from the ISO standardization process. Despite the progress towards an unambiguously defined and versatile measure in software engineering, several misconceptions about FSM in software community keep on leading to misuse of functional size and unproductive measurement practices. While such misperceptions results in disappointment and wasted resources, an important consequence is the disinterest in FSM. In this paper, we elaborate seven misconceptions in FSM. We review functional size and FSM by discussing the misconceptions. Our purpose is to give a state-of-the-art presentation of functional size and to guide software practitioners and researchers in applying FSM principles properly in their practices and software engineering methods and models. © 2016 IEEE.