Software renewal projects estimation using dynamic calibration

Baldassarre, María Teresa; Caivano, Danilo; Visaggio, Giuseppe

doi:10.1109/icsm.2003.1235411

Cited by 12 publications

(9 citation statements)

References 40 publications

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“…A second retrospective analysis reported in [4] was carried out on another bank (Italian Bank Y). It investigated a method, Dynamic Calibration (DC), for effort estimation of renewal projects.…”

Section: Retrospective Analysismentioning

confidence: 99%

Empirical studies for innovation dissemination

Baldassarre

Caivano

Visaggio

2013

Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering

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Context: technology transfer and innovation dissemination are key success factors for an enterprise. The shift to a new software technology determines inevitable changes to ingrained and familiar processes and at the same time leads to changes in practices, requires training and commitment on behalf of technical staff and management. As so, it cannot leave out neither organizational nor technical factors. Objective: our conjecture is that the process of innovation dissemination is facilitated if the new technology is supported by empirical evidence. In this sense, Empirical Software Engineering (ESE) serves as support for transferring an innovation, either it being a process or product, within production processes. Method: this paper investigates the relation between empirical studies and technical/organizational factors in order to identify the most suitable empirical study for disseminating an innovation in an enterprise. The analysis has been carried out with respect to empirical studies carried out during a ten year time span within the Software Engineering Research LABoratory (SERLAB), at the University of Bari. Results: the results point out that a critical factor in designing empirical studies is the quality model, i.e. measurement program defined by researchers during the study and used to collect relevant information on the effectiveness and efficacy of the innovation being transferred, in order to gain commitment on behalf of stakeholders who will finally adopt the technology. Conclusion: the study outcomes provide an empirically founded guideline that can be used when choosing the most appropriate approach for addressing an innovation.

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Section: Retrospective Analysismentioning

confidence: 99%

Empirical studies for innovation dissemination

Baldassarre

Caivano

Visaggio

2013

Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering

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“…The idea behind DC (approach presented in [13]) is to adopt and use an estimation model until it works well. When it becomes less accurate due to a process performance change, a new model must be obtained.…”

Section: Spc Inside Dynamic Calibration (Dc)mentioning

confidence: 99%

Non-intrusive monitoring of software quality

Boffoli

2006

Conference on Software Maintenance and Reengineering (CSMR'06)

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Measurement based software process improvement needs a non-intrusive approach to determine what and where improvement is needed without knowing anything about the methods and techniques used during project execution. Beside, it is necessary for obtaining successful business management, an accurate process behavior prediction. In order to obtain these results we proposed to use Statistical Process Control (SPC) tailored to the software process point of view. The paper proposes an appropriate SPC-Framework and presents two industrial experiences in order to validate the framework in two different software contexts: recalibration of effort estimation models; monitoring of the primary processes through the supporting ones. These experiences validate the framework and show how it can be successfully used as a decision support tool in software process improvement.

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“…Unfortunately, due to the extreme variety in software development, a model derived statistically from a context cannot be useful in others without any calibration to local environment. Although some adjustment techniques (see [7][8][9] ) were added to avoid that situation, they are too complex and difficult for practitioners (as well as customers) to understand and manipulate. In addition, like decomposition techniques, the need of detailed data (e.g., size) in empirical models also prevents the users from flexibly estimating.…”

Section: Background To Software Estimationmentioning

confidence: 99%

An Approach to Estimate Software Costs Within a Narrow Context

Nguyen

2006

Ictacs 2006

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This paper proposes a new approach to estimate software costs using case-based reasoning. In this approach, the costs of a new software project are estimated by firstly retrieving the similar previous project and then adapting its costs to the current conditions. The approach focus on the estimation within a narrow context. The project is described as an ontology which allows the managers to estimate with various level of requirement analysis during the development. Moreover, the statistical analysis of previous works (i.e. the COCOMO model) are utilized to reflect the software development domain knowledge.

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Software renewal projects estimation using dynamic calibration

Cited by 12 publications

References 40 publications

Empirical studies for innovation dissemination

Empirical studies for innovation dissemination

Non-intrusive monitoring of software quality

An Approach to Estimate Software Costs Within a Narrow Context

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