Review of Various Software Cost Estimation Techniques

Shekhar, Shivangi; Kumar, Umesh

doi:10.5120/ijca2016909867

Cited by 35 publications

(34 citation statements)

References 16 publications

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“…COCOMO exists in three forms that are hierarchal in nature. It is simple to estimate the cost of this model (Shekhar and Kumar, 2016). The first or basic COCOMO foregoes the Cost Drivers so it is valuable for quick, cursory and fast estimates of software costs but not more.…”

Section: Cocomo Modelmentioning

confidence: 99%

Accurate cost estimation for software with volatile requirements

al.¹

2020

Int. j. adv. appl. sci.

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Requirements volatility in the software development lifecycle is considered to be one of the biggest risks during development. Countering this is mandatory in order to achieve success in a software project. Such requirements if they exist and not handled at an appropriate time can also result in a huge amount of error in estimation, whether it relates to cost or time. This paper first provides a clear understanding of requirements volatility along with its major contributors. The paper then mentions some widely-used techniques to achieve maximum accuracy in software costing. In section 4, the paper highlights how costing accuracy can be achieved if the software has volatile requirements by measuring an existing survey's result costing impact on the project. Finally, the paper concludes that volatile requirements cannot be eliminated but can be minimized using the approaches mentioned in the paper.

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Section: Cocomo Modelmentioning

confidence: 99%

Accurate cost estimation for software with volatile requirements

al.¹

2020

Int. j. adv. appl. sci.

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“…Among these estimation methodologies, there is no best approach; indeed, each technique has its pros and cons. The estimation techniques can be classified into two major types, namely algorithmic and non-algorithmic techniques [7]. The former is based on equations and mathematics, which are used to process the software estimation; in contrast, the latter is based on analogy and deduction.…”

Section: Effort Size and Cost Estimation Software Estimation In Genmentioning

confidence: 99%

Effort Estimation across Mobile App Platforms using Agile Processes: A Systematic Literature Review

Altaleb¹,

Gravell²

2018

JSW

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Abstract:It is predicted that smartphone numbers will increase to 2.8B in 2018, up from around 2B in 2016. Moreover, revenue from application stores is predicted to reach $189B by 2020, up from $88.3B in 2016 1 . Software effort and size estimation are essential when it comes to project managers being able to manage and plan a project so as to prevent it from failing. The planning and development of mobile applications differs from other traditional software applications due to the characteristics of the mobile environment, high autonomy requirements, market competition, and many other constraints. Therefore, this paper presents the results of a Systematic Literature Review (SLR) concerning effort and size estimation models in mobile application development; this is followed by a summary of estimation techniques used across mobile apps. In particular, we focus on the software estimation models that are applicable to the Agile Software Development (ASD) process. The aim of this SLR is to provide researchers and practitioners with an overview of the current state-of-the-art software estimation techniques used in mobile applications. At the end of this review, some suggestions, research gaps and possible future work will be presented.

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“…Moreover, the COCOMO II is an algorithmic model which provides a set of tools and techniques for evaluating the effects of software technology improvements on software life cycle costs and schedules [19]. It can be used with a story point method to estimate the effort in a large scale projects.…”

Section: E=b+001+∑ 5 (5)mentioning

confidence: 99%

An Enhanced Framework for Effort Estimation of Agile Projects

Raslan¹,

Darwish²

2018

IJIES

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Software effort estimation methods are used to measure the total time and forecast the amount of required effort to develop the software. In addition, agile software projects, the requirements are characterized by changeability during the software projects. Therefore using the traditional estimation models in agile software projects may cause inaccurate effort estimation. This paper proposes a framework which utilizes The Constructive Cost Model (COCOMO II), story points, and fuzzy logic models without affecting the sacredness of agile principles. Furthermore, the results show the proposed framework increasing the value of Prediction Level (Pred) to 80%.

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Review of Various Software Cost Estimation Techniques

Cited by 35 publications

References 16 publications

Accurate cost estimation for software with volatile requirements

Accurate cost estimation for software with volatile requirements

Effort Estimation across Mobile App Platforms using Agile Processes: A Systematic Literature Review

An Enhanced Framework for Effort Estimation of Agile Projects

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