2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA)

5-7 Oct. 2016

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  • [Front cover]

    Publication Year: 2016, Page(s): c1
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  • [Title page i]

    Publication Year: 2016, Page(s): i
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  • [Title page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - viii
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  • Message from the General Chair

    Publication Year: 2016, Page(s): ix
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  • Message from the Program Chairs

    Publication Year: 2016, Page(s):x - xi
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  • Organizing Committee

    Publication Year: 2016, Page(s): xii
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  • Program Committee

    Publication Year: 2016, Page(s): xiii
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  • Keynotes

    Publication Year: 2016, Page(s):xiv - xvii
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (122 KB)

    Provides an abstract for each of the keynote presentations and may include a brief professional biography of each View full abstract»

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  • Tutorial and Workshop Summaries

    Publication Year: 2016, Page(s):xviii - xxiv
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (171 KB)

    These tutorials and workshops discuss the following: Benchmarking, measurement, data analytics - trends and practice; Big Data technologies; Productivity impact factors for projects; Software measurement in the context of Industry 4.0; Data manipulation management; Estimating packaged software; and Metrics in contracts. View full abstract»

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  • Analyzing Data on Software Evolution Processes

    Publication Year: 2016, Page(s):1 - 10
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (655 KB) | HTML iconHTML

    This paper describes a tool supported process for evaluating software evolution processes using data analytics. Software evolution is concerned with correcting, changing and enhancing existing software systems. The evolution process is driven by error reports and change requests. The ISO-12207 standard prescribes how the process should be conducted. The approach presented here goes beyond simply c... View full abstract»

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  • Towards a Benchmark for the Maintainability Evolution of Industrial Software Systems

    Publication Year: 2016, Page(s):11 - 21
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (947 KB) | HTML iconHTML

    The maintainability of software is an important cost factor for organizations across all industries, as maintenance makes up approximately 40% to 70% of the total development costs of a software system. Organizations are often stuck in the situation where software maintenance costs dominate IT budgets, leaving no room for enhancement and innovation. Building a benchmark for maintainability evoluti... View full abstract»

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  • Evolution of Process and Product Metrics Based on Information Needs

    Publication Year: 2016, Page(s): 22
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (140 KB) | HTML iconHTML

    Summary form only given. Measurement & analysis is one of the key areas for successful organizations. Process & product metrics are the main units for an effective measurement & analysis process. This study describes about the evolution of STM's process & product metrics based on information needs. Decisions leading to ineffective organizational measurement system, ... View full abstract»

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  • Functional Size Measurement Patterns: A Proposed Approach

    Publication Year: 2016, Page(s):23 - 34
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    This paper introduces the concepts of functional size measurement (FSM) patterns. These FSM patterns apply to the COSMIC FSM method and may help in solving several issues, such as being able to do an early sizing for estimation, helping inexperienced measurers in learning how to apply the COSMIC method by establishing the relationship between the method rules and the measurement results, avoiding ... View full abstract»

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  • Towards Component-Aware Function Point Measurement

    Publication Year: 2016, Page(s):35 - 44
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (634 KB) | HTML iconHTML

    Background. Function Point Analysis is the most used technique for sizing software functional specifications. Function Point measures are widely used to estimate the effort needed to develop software, hence the cost of software. However, Function Point Analysis adopts the point of view of the end user, and-consistently-considers a software application as a whole. This approach does not allow for a... View full abstract»

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  • On the Seven Misconceptions about Functional Size Measurement

    Publication Year: 2016, Page(s):45 - 52
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (206 KB) | HTML iconHTML

    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 es... View full abstract»

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  • Earned Scope Management: A Case of Study of Scope Performance Using COSMIC (ISO 19761) with a Real Project

    Publication Year: 2016, Page(s):53 - 64
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (469 KB) | HTML iconHTML

    Three of the major constraints on projects are scope (size), cost (money) and time (schedule). While the Earned Value Management (EVM) and Earned Schedule (ES) techniques manage the cost and time constraints they do not explicitly tackle the scope constraint. While scope management is recognized as a key success factor in software projects, there is a lack of formal techniques in the literature to... View full abstract»

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  • An Empirical Evaluation of Two COSMIC Early Estimation Methods

    Publication Year: 2016, Page(s):65 - 74
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (261 KB) | HTML iconHTML

    Background. Under specific circumstances -especially in the early phases of software development projects-a thorough application of the COSMIC method may require more time and effort than available. Thus, early approximate estimation methods have been proposed for estimating the functional size of a given application, instead of properly measuring it. Objective. This paper aims at empirically eval... View full abstract»

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  • Measurement of Software Size: Advances Made by the COSMIC Community

    Publication Year: 2016, Page(s):75 - 86
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (517 KB) | HTML iconHTML

    The main purpose of this paper is to describe the design objectives that were set when work started on developing the COSMIC method of measuring a functional size of software requirements, the problems that were tackled during the development and some measurement results that demonstrate that the method has met its objectives. The paper begins by setting two main general objectives for software me... View full abstract»

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  • Quality Measurement of ITIL Processes in Cloud Systems

    Publication Year: 2016, Page(s):87 - 94
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (535 KB) | HTML iconHTML

    Cloud system's operations is complex due to the inherent cloud characteristics rapid elasticity, system automation and location independent resource pooling. Transparency and quality management of these cloud characteristics are crucial for the market and customer acceptance of each cloud provider. The necessary prerequisite for this is the definition and standardization of measurement methods of ... View full abstract»

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  • Measurement-Based Optimization of Server License Balancing

    Publication Year: 2016, Page(s):95 - 106
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (377 KB) | HTML iconHTML

    In the era of service-oriented paradigm involving complex technologies like cloud computing and big data resources, the efficient use of infrastructure licenses is an essential basic for successful business processes. This paper considers the balancing of server licensing in virtual server architectures like cloud computing. Based on the research and analysis of existing server licenses, we derive... View full abstract»

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  • Value of Quantitative Engagement Management: Realizing Business Objectives by Quantitatively Managing Cost, Time and Quality Dimensions of an Engagement

    Publication Year: 2016, Page(s): 107
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (138 KB) | HTML iconHTML

    Summary form only given. The presentation describes the real case of an engagement dealing with the business problem of low profitability, measured by key performance indicator “contribution margin”. Furthermore, it illustrates how the business problem was converted into a statistical problem, how it was analyzed using simple statistical techniques to resolve the same and later conclude the statis... View full abstract»

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  • Big Data Benefits for the Software Measurement Community

    Publication Year: 2016, Page(s):108 - 114
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (226 KB) | HTML iconHTML

    The methods, models and technologies in the context of Big Data approaches has coined a new understanding of empirical analyses. First success stories of such kind of analytic data base systems exist in many domains. This research follows the question if software measurement can take advantages from Big Data. Considering the problems in software measurement applications and practice are described ... View full abstract»

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  • Quality Evaluation for Big Data: A Scalable Assessment Approach and First Evaluation Results

    Publication Year: 2016, Page(s):115 - 124
    Cited by:  Papers (4)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (995 KB) | HTML iconHTML

    High-quality data is a prerequisite for most types of analysis provided by software systems. However, since data quality does not come for free, it has to be assessed and managed continuously. The increasing quantity, diversity, and velocity that characterize big data today make these tasks even more challenging. We identified challenges that are specific for big data quality assessments with part... View full abstract»

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