At the domestic and regional level most organizations willing to participate in software development projects at international off-shore markets operates at small or medium organizational sizes and therefore isn't...
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ISBN:
(纸本)9783642018558
At the domestic and regional level most organizations willing to participate in software development projects at international off-shore markets operates at small or medium organizational sizes and therefore isn't included by the organizational scales referred at the typical SPI bibliography. A systemic model is then implemented aiming to get an initial understanding over the behavior of the different variables involved, their contribution to the improvement effort, outcome sensibility to model parameters, the systemic relations at large and the limits derived from the holistic interaction of all.
Organizations of all sizes understand the benefits to consider software Process Improvements (SPI) investments, still many of them and in particular the smaller ones are reluctant to embrace this kind of initiatives. ...
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ISBN:
(纸本)9783540795872
Organizations of all sizes understand the benefits to consider software Process Improvements (SPI) investments, still many of them and in particular the smaller ones are reluctant to embrace this kind of initiatives. A systemic model is presented in this article as a tool aiming aiming to provide an initial understanding over the behavior of the different organizational variables involved and their complex interactions within a SPI effort, their contribution to the improvement effort, the resulting value sensitivity to model parameters, the systemic relations at large and the limits derived from the holistic interaction of all in order to be used as a scenario analysis tool to identify the SPI strategies which best Suit a given organization business context thru the maximization of the value obtained from the investment.
Business has been highlighted as a one of the critical dimensions of software product line engineering. This paper's main contribution is to increase the understanding of the influence of key business factors by s...
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Business has been highlighted as a one of the critical dimensions of software product line engineering. This paper's main contribution is to increase the understanding of the influence of key business factors by showing empirically that they play an imperative role in managing a successful software product line. A quantitative survey of software organizations currently involved in the business of developing software product lines over a wide range of operations, including consumer electronics, telecommunications, avionics, and information technology, was designed to test the conceptual model and hypotheses of the study. This is the first study to demonstrate the relationships between the key business factors and software product lines. The results provide evidence that organizations in the business of software product line development have to cope with multiple key business factors to improve the overall performance of the business, in addition to their efforts in software development. The conclusions of this investigation reinforce current perceptions of the significance of key business factors in successful software product line business. (c) 2006 Elsevier B.V. All rights reserved.
As in any other business, software development organizations try to maximize their profits and minimize their risks. The risks represent uncertain events and conditions that may prevent enterprises from attaining thei...
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As in any other business, software development organizations try to maximize their profits and minimize their risks. The risks represent uncertain events and conditions that may prevent enterprises from attaining their goals, turning risk management into a major concern, not only for project managers but also for executive officers involved with strategic objectives. In this sense, economical concepts can greatly support software Engineers in the effort to better quantify the uncertainties of either a single project or even a project portfolio. In this paper, we present a technique for evaluating risk levels in software projects through analogies with economic concepts. This technique allows a manager to estimate the probability distribution of earnings and losses incurred by an organization in relation to its software project portfolio. This approach has been calibrated by data collected in an empirical study, which has been planned and accomplished to provide information about the relative importance of risk factors in software projects. A usage example of such an approach is presented. Finally, we introduce a case tool specially built to support the application of the proposed techniques. (C) 2006 Elsevier Inc. All rights reserved.
Product lines are intended to capture the evolution of software products and to last for a fairly long amount of time. Hence, one of the hardest and most important aspects to consider is the ability of product lines t...
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ISBN:
(纸本)158113472X
Product lines are intended to capture the evolution of software products and to last for a fairly long amount of time. Hence, one of the hardest and most important aspects to consider is the ability of product lines themselves to evolve and change. This paper aims at sharing conceptual and practical experience by establishing contacts and starting the discussion between experts and practitioners from academia and industry.
software development projects are notorious for cost overruns and schedule delays. While dozens of software cost models have been proposed, few of them seem to have any degree of consistent accuracy. One major factor ...
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software development projects are notorious for cost overruns and schedule delays. While dozens of software cost models have been proposed, few of them seem to have any degree of consistent accuracy. One major factor contributing to this persistent and wide spread problem is an inadequate understanding of the real behavior of software development processes. We believe that software development could be studied as an economic production process and that established economic theories and methods could be used to develop and validate software production and cost models. Here, we present the results of evaluating four alternative software production models using the P-test, a statistical procedure developed specifically for testing the truth of a hypothesis in the presence of alternatives in econometric studies. We found that the truth of the widely used Cobb-Douglas type of software production and cost models (e.g., COCOMO) cannot be maintained in the presence of quadratic or translog models. Overall, the quadratic software production function is shown to be the most plausible model for representing software production processes. Limitations of this study and future directions are also discussed.
software development projects are notorious for cost overruns and schedule delays. While dozens of software cost models have been proposed, few of them seem to have any degree of consistent accuracy. One major factor ...
详细信息
software development projects are notorious for cost overruns and schedule delays. While dozens of software cost models have been proposed, few of them seem to have any degree of consistent accuracy. One major factor contributing to this persistent and wide spread problem is an inadequate understanding of the real behavior of software development processes. We believe that software development could be studied as an economic production process and that established economic theories and methods could be used to develop and validate software production and cost models. Here, we present the results of evaluating four alternative software production models using the P-test, a statistical procedure developed specifically for testing the truth of a hypothesis in the presence of alternatives in econometric studies. We found that the truth of the widely used Cobb-Douglas type of software production and cost models (e.g., COCOMO) cannot be maintained in the presence of quadratic or translog models. Overall, the quadratic software production function is shown to be the most plausible model for representing software production processes. Limitations of this study and future directions are also discussed.
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