Software cost estimation for component-based fourth-generation-language software applications

Zia, Z; Rashid, A; Zaman, Khair Uz

doi:10.1049/iet-sen.2010.0027

Cited by 18 publications

(13 citation statements)

References 5 publications

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“…In code development, the widespread use of cost estimation in budgeting and project planning has resulted in the development of several estimation techniques (Zia et al, 2011;Magazinius et al, 2012;Jørgensen and Shepperd, 2007;Leung and Fan, 2002). A common approach used in cost estimation, particularly in software engineering, involves the determination of the effort (usually in person-months), the duration of the project (in time), and the cost (in dollars or other currency) (Leung and Fan, 2002;Zia et al, 2011).…”

Section: Cost Analysismentioning

confidence: 98%

Resource allocation for code development in partitioned models

Atamturktur

Farajpour

2015

Engineering Computations

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Purpose -Physical phenomena interact with each other in ways that one cannot be analyzed without considering the other. To account for such interactions between multiple phenomena, partitioning has become a widely implemented computational approach. Partitioned analysis involves the exchange of inputs and outputs from constituent models (partitions) via iterative coupling operations, through which the individually developed constituent models are allowed to affect each other's inputs and outputs. Partitioning, whether multi-scale or multi-physics in nature, is a powerful technique that can yield coupled models that can predict the behavior of a system more complex than the individual constituents themselves. The paper aims to discuss these issues. Design/methodology/approach -Although partitioned analysis has been a key mechanism in developing more realistic predictive models over the last decade, its iterative coupling operations may lead to the propagation and accumulation of uncertainties and errors that, if unaccounted for, can severely degrade the coupled model predictions. This problem can be alleviated by reducing uncertainties and errors in individual constituent models through further code development. However, finite resources may limit code development efforts to just a portion of possible constituents, making it necessary to prioritize constituent model development for efficient use of resources. Thus, the authors propose here an approach along with its associated metric to rank constituents by tracing uncertainties and errors in coupled model predictions back to uncertainties and errors in constituent model predictions. Findings -The proposed approach evaluates the deficiency (relative degree of imprecision and inaccuracy), importance (relative sensitivity) and cost of further code development for each constituent model, and combines these three factors in a quantitative prioritization metric. The benefits of the proposed metric are demonstrated on a structural portal frame using an optimization-based uncertainty inference and coupling approach. Originality/value -This study proposes an approach and its corresponding metric to prioritize the improvement of constituents by quantifying the uncertainties, bias contributions, sensitivity analysis, and cost of the constituent models.

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Section: Cost Analysismentioning

confidence: 98%

Resource allocation for code development in partitioned models

Atamturktur

Farajpour

2015

Engineering Computations

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“…When the client is not clear on the complete requirements, it is not possible to estimate the project correctly in term of efforts and time. Studies and development teams have been attempting to simplify effort estimation methods [7]. One main pitfall has been the reduced applicability of proposed estimations methods, where technological growth has induced indirections in effort estimations.…”

Section: Fig 1 -Conceptual Agile Developmentmentioning

confidence: 99%

A Hybrid Effort Estimation Technique for Agile Software Development (HEETAD)

Bhaskaran,

Jayaraj

2019

IJEAT

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Software development becomes a complex process when the software grows in size or complexity making it difficult to estimate usage of resources or development costs. Software effort estimation is that part of development which helps in assessing resource prior to development. An estimate is a quantified evaluation of the effort necessary to carry out a given development task and most often expressed in terms of durations. Effort estimation is done with an intent to aggregate individual estimates and obtain the overall duration, effort or cost of a software project. The workforce is measured as effort and the total time required is defined for a task in effort estimations which is usually expressed in units (Man-day, Man-month, and Man-year). Most other factors like cost or total time required to developed software are dependent on these estimations. Further, Algorithms used for estimating software developments efforts, may also be imprecise. Thus, Effort estimations plays an important part of software development in planning and monitoring projects. Agile methodology is relatively a new set of practices in software development. Agile estimations are based on many factors. Improperly recorded information from Agile methods can result in erratic estimations thus creating an impending need for precise effort estimations. It is difficult to find a single technique which can suit all conditions. Hence, this paper attempts to estimate agile development efforts by using a hybrid technique based on function points and user stories. Results of the proposed technique demonstrate that the arrived effort estimations based on user stories are efficient.

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“…Not only in embedded system and design, similar problems do exists in fourth generation language. The degree of complexity towards fourth generation language is quite higher and this problem is investigated by Zia et al [30]. The technique has used empirical data on the basis of the standard specification of COCOMO II model.…”

Section: General Cost Estimation Techniquesmentioning

confidence: 99%

Insights on Research Techniques towards Cost Estimation in Software Design

Naik¹,

Nayak²

2017

IJECE

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Software cost estimation is of the most challenging task in project management in order to ensuring smoother development operation and target achievement. There has been evolution of various standards tools and techniques for cost estimation practiced in the industry at present times. However, it was never investigated about the overall picturization of effectiveness of such techniques till date. This paper initiates its contribution by presenting taxonomies of conventional cost-estimation techniques and then investigates the research trends towards frequently addressed problems in it. The paper also reviews the existing techniques in well-structured manner in order to highlight the problems addressed, techniques used, advantages associated and limitation explored from literatures. Finally, we also brief the explored open research issues as an added contribution to this manuscript.

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Software cost estimation for component-based fourth-generation-language software applications

Cited by 18 publications

References 5 publications

Resource allocation for code development in partitioned models

Resource allocation for code development in partitioned models

A Hybrid Effort Estimation Technique for Agile Software Development (HEETAD)

Insights on Research Techniques towards Cost Estimation in Software Design

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