Approximation of COSMIC functional size to support early effort estimation in Agile

Hussain, Ishrar; Kosseim, Leila; Ormandjieva, Olga

doi:10.1016/j.datak.2012.06.005

Cited by 45 publications

(22 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies related with SPLs modeling costs [16,17,18,19,20,25,22], measure the computed features as whole products. These approaches do not consider the order in which features are computed to generate a valid product.…”

Section: Process Algebras and Cost Analysismentioning

confidence: 99%

“…Software cost estimation is based on code [16,17] or functional size metrics [18,19,20]. The term "size" must be referenced as an important attribute of a software product and it does not always refer to the occupied space or the number of lines of code.…”

Section: "Cost" Estimation In Splsmentioning

confidence: 99%

“…For example, the cost of adding a feature to a product can be equal to the number of lines of code of a software component [16,17], or the effort, in terms of human hours, to develop that module. This effort is usually measured by using functional metrics [18,19,20]. Even the cost of adding third-party modules, both commercial and open source, to our SPL could be the time associated with integrating it into the product line organization.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cost-related interface for software product lines

Camacho

Llana

Núñez

2016

Journal of Logical and Algebraic Methods in Programming

View full text Add to dashboard Cite

Software Product Lines modeling improves software development processes by automating system debugging and analysis. The objective of this paper focuses on extending the formal framework SPLA to represent features such as cost objects and comparisons between products in terms of production costs. We illustrate this extension with a practical example by modeling the creation of valid run-lists for Chef, a widely used configuration management tool. Also, we execute our formal specification in a distributed system using SCOOP and we provide strategies to optimize the effort required to compute a SPLA term.

show abstract

Section: Process Algebras and Cost Analysismentioning

confidence: 99%

Section: "Cost" Estimation In Splsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cost-related interface for software product lines

Camacho

Llana

Núñez

2016

Journal of Logical and Algebraic Methods in Programming

View full text Add to dashboard Cite

show abstract

“…The estimate in Figure 3 shows that, according to the entire Development Team, the Product Backlog item in question will need about 1.8 story points to be completed. If the process of its completion does not encounter any obstacles, it may be accomplished using only about 1.18 story As far as the assumptions from Section 6.1 are concerned, the fulfilment of those numbered (1)- (6) follows directly from the above description of the method. The issue 7, concerning fair voting, is more complex.…”

Section: Fuzzy Methods For Expert Estimation Of the Effort Needed To Amentioning

confidence: 99%

“…This encompasses the project estimation issue, with a special emphasis on the estimation of the effort needed to accomplish the elements of the Product Backlog, performed before each Sprint. Demands in the industry set to estimating software development effort are nowadays considerably elevated [5][6][7] and it is general management knowledge that accurate (thus acceptably close to actual values) estimates increase the efficiency of project implementation. The problem seems thus to be essential for all organizations using Scrum.…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Sets to the Expert Estimation of Scrum-Based Projects

Rola

Kuchta

2019

Symmetry

View full text Add to dashboard Cite

The paper is basically dedicated to the problem of effort estimation for the Product Backlog items of IT projects led accordingly to the Scrum framework. The effort estimation issue is important, because low quality estimation decreases the efficiency of project implementation. The paper proposes an estimation method for the Product Backlog items of Scrum-based IT projects (which can be adapted also to other projects), which has two original elements with respect to the state of art in Scrum estimation: the usage of fuzzy numbers and strict rules for consensus forming, combined with a space for human interaction. The assumptions of the method should be complied with and were formulated on the basis of literature and authors experience. Two case studies were used for an initial method validation. The case studies confirmed a high potential of the method to increase estimation quality in Scrum-based projects, as well as in other project types. The case studies were conducted using research methods fulfilling the symmetry principle. The paper is thus an example of symmetry in management research.

show abstract

Automated software effort estimation for agile development system by heuristically improved hybrid learning

Gupta¹,

Mahapatra²

2022

Concurrency and Computation

View full text Add to dashboard Cite

Summary In the process of modern software development, an important role is played by software effort estimation. The failure or success of the projects is mostly based on the schedule outcomes and effort estimation accuracy. The effort estimation problem still remains as a challenging issue because of the limitations of various standard measures for forecasting the efforts in the plan‐driven software development. This article emphasizes on novel software effort estimation framework using heuristically improved hybrid learning model. This article proposes heuristically improved hybrid learning (HI‐HL) with deep belief network and artificial neural network for software effort estimation. The weight optimization strategy of DBN and ANN to attain highly accurate estimation. Here, the weight optimization is performed by integrating two standard optimization algorithms such as forest optimization algorithm and moth‐flame optimization, so called as solution index‐based forest moth flame optimization with the purpose of solving the fitness function concerning the “Magnitude of Relative Error and Mean Absolute Error (MAE).” From the table results, for dataset 1, the SMAPE of SI‐FMFO‐HI‐HL is correspondingly secured 60.75%, 34.26%, 56.77%, and 61.44% improved than ELM, LSTM, DNN, and fuzzy. The simulation findings indicated that the recommended estimation model outperformed the baseline approaches on the three publically available datasets.

show abstract

Approximation of COSMIC functional size to support early effort estimation in Agile

Cited by 45 publications

References 8 publications

Cost-related interface for software product lines

Cost-related interface for software product lines

Application of Fuzzy Sets to the Expert Estimation of Scrum-Based Projects

Automated software effort estimation for agile development system by heuristically improved hybrid learning

Contact Info

Product

Resources

About