Achievements and Challenges in Cocomo-Based Software Resource Estimation

Boehm, Barry; Valerdi, Ricardo

doi:10.1109/ms.2008.133

Cited by 94 publications

(104 citation statements)

References 14 publications

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“…The COCOMO II approach has proven to be robust across a number of domains including aerospace & defense, IT, financial services and embedded systems. To date, a number of derivative models have been created to address specific needs of the estimation community including quality, product line investment, productivity and security (Boehm, Valerdi, Lane, et al 2005).…”

Section: Figure 2 Generic Contract Work Breakdown Structure (Wbs)mentioning

confidence: 99%

2.2.1 Towards a Holistic, Total Engineering Cost Model

Gan

Turnidge

Shernoff

et al. 2009

INCOSE International Symp

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Abstract. In this paper, we explore a new approach for a unified and interdisciplinary parametric model for estimating the total engineering effort in developing and delivering a software-intensive complex system. We begin by reviewing some of the limitations of using existing engineering discipline-focused tools for estimating total engineering cost and by articulating the benefits of such a holistic model. Applying a two step method combining heuristic analysis and data validation, we propose three hypotheses to expand the basic cost estimating relationship of COSYSMO, a systems engineering model, to the total engineering scope by including software size drivers. The implementation of the hypotheses and the validation approach are also discussed. We conclude the discussion by outlining the future work required to realize such a model and to apply it to supporting successful system development endeavours.

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Section: Figure 2 Generic Contract Work Breakdown Structure (Wbs)mentioning

confidence: 99%

2.2.1 Towards a Holistic, Total Engineering Cost Model

Gan

Turnidge

Shernoff

et al. 2009

INCOSE International Symp

Self Cite

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“…In developing the project plans, it is necessary to make an estimate of the duration of the project， cost ，manpower and other resources what does project need .The common methods to estimate cost for software projects fall into three main categories: algorithmic cost estimation, expert judgment and estimation by analogy. Algorithmic estimation involves the application of mathematical models, such as COCOMO [2][3][4], which is mainly a data-driven method, so it is objective and repeatable; accuracy of result estimated depends on the model constructed. Expert judgment relies on the experience and the judgment of experts, so it is subjective and unrepeatable, accuracy of expert based prediction is erratic.…”

Section: Introductionmentioning

confidence: 99%

Research on Similarity in Software Cost Estimation

Ren¹,

Dai²

2015

Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

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Abstract. The collaborative filtering techniques is applied to cost estimation of software projects in the paper, and four methods to calculate similarity in collaborative filtering are introduced which are cosine similarity, Euclidean distance, adjusted cosine similarity and correlation correction similarity. These methods are applied in USP05-FT projects to estimate cost, and the experimental results show that the adjusted cosine similarity and correlation correction similarity are better than other similarity calculation methods whose accuracy has reached more than 75%.

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“…production models, soft computing, fuzzy logic modeling, statistical bootstrapping, and combinations of two or more of these models. The perhaps most common estimation products today, e.g., the formal estimation models COCOMO [2] and SLIM have their basis in estimation research conducted in the 1970s and 1980s. The estimation approaches based on functionality-based size measures, e.g., function points, is also based on research conducted in the 1970s and 1980s, but are re-appearing with customized size measures under diverse labels, such as "use case points" in the 1990s and COSMIC in the 2000s.…”

Section: Introductionmentioning

confidence: 99%

Parametric Models for Effort Estimation for Global Software Development

Ramacharan¹,

Rao²

2013

LNSE

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Abstract-The main objective & aim of this paper is to identify the problems that arise due to distributed software & offshore software development. This includes numerous critical success factors which may make vulnerable to the success of development. Generally for software development perfect estimation is crucial especially in globally distributed projects & offshore projects. This article introduces a Study based on COCOMO II, SLIM, ISBSG effort estimation methods. These methods enable more precise estimation methods than conventional methods.Index Terms-COCOMO II, effort estimation methods, SLIM, ISBSG, off shoring, risk management.

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Achievements and Challenges in Cocomo-Based Software Resource Estimation

Cited by 94 publications

References 14 publications

2.2.1 Towards a Holistic, Total Engineering Cost Model

2.2.1 Towards a Holistic, Total Engineering Cost Model

Research on Similarity in Software Cost Estimation

Parametric Models for Effort Estimation for Global Software Development

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