Utilizing Change Impact Analysis for Effort Estimation in Agile Development

Tanveer, Binish; Vollmer, Anna Maria; Engel, Ulf Martin

doi:10.1109/seaa.2017.64

Cited by 6 publications

(7 citation statements)

References 15 publications

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“…Besides, it needs a mobile application development to ease its implementation. Tanveer et al (2017a) proposed an innovative hybrid method that incorporated expert knowledge and changes analysis to impact the process of estimation. This hybrid method was furnished by Tanveer et al (2018) with a prototype tool built based on the previous framework.…”

Section: Conducting Phase Resultsmentioning

confidence: 99%

A Review Article on Software Effort Estimation in Agile Methodology

Sudarmaningtyas¹,

Mohamed²

2021

JST

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Currently, Agile software development method has been commonly used in software development projects, and the success rate is higher than waterfall projects. The effort estimation in Agile is still a challenge because most existing means are developed based on the conventional method. Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. The results showed the top three estimation that is applied in Agile, are machine learning (37%), Expert Judgement (26%), and Algorithmic (21%). The implementation of all machine learning methods used a hybrid approach, which is a combination of machine learning and expert judgement, or a mix of two or more machine learning. Meanwhile, the implementation of effort estimation through a hybrid approach was only used in 47% of relevant articles. In addition, effort estimation in Agile involved twenty-four attributes, where Complexity, Experience, Size, and Time are the most commonly used and implemented.

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Section: Conducting Phase Resultsmentioning

confidence: 99%

A Review Article on Software Effort Estimation in Agile Methodology

Sudarmaningtyas¹,

Mohamed²

2021

JST

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“…Tanveer et al [19] analyzed the agile methodology estimation process and accuracy with agile development groups using a case study of two observations. The authors conducted 11 interviews with the three agile groups.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy AHP-based approach for prioritization of cost overhead factors in agile software development

Abusaeed

Khan

Mashkoor

2023

Applied Soft Computing

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“…Construct validity: to avoid inappropriate measurement of the evaluation quality aspects, we considered and adapted existing reliable test instruments such as TAM . On the basis of peer reviews and experiences gathered from previous research, we checked the appropriateness of the questions for our evaluation goals. The resulting questionnaire was used to elicit the opinion of practitioners.…”

Section: Threats To Validitymentioning

confidence: 99%

“…The framework was instantiated, and the potential tool support was materialized using mock‐ups with SAP. Encouraged by the results, using prototyping the method, HyEEASe, was further refined in close collaboration with InsidersTechnologies.…”

Section: Introductionmentioning

confidence: 99%

“…7,8 Change impact analysis (IA) techniques identify software life cycle objects that are likely to be affected by a given change request. 9In our previous work, 8,10,11 to support expert-based estimation methods with change impact analysis, we have synthesized research from two areas: (1) change impact analysis 9 and (2) effort estimation (both expert and model based). We used case study and survey research to understand the needs of industry practitioners and their challenges and development context.…”

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confidence: 99%

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An evaluation of effort estimation supported by change impact analysis in agile software development

Tanveer

Vollmer

Braun

et al. 2019

J Software Evolu Process

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In agile software development, functionality is added to the system in an incremental and iterative manner. Practitioners often rely on expert judgment to estimate the effort in this context. However, the impact of a change on the existing system can provide objective information to practitioners to arrive at an informed estimate. In this regard, we have developed a hybrid method, that utilizes change impact analysis information for improving effort estimation. We also developed an estimation model based on gradient boosted trees (GBT). In this study, we evaluate the performance and usefulness of our hybrid method with tool support and the GBT model in a live iteration at Insiders Technologies GmbH, a German software company. Additionally, the solution was also assessed for perceived usefulness and understandability in a study with graduate and post‐graduate students. The results from the industrial evaluation show that the proposed method produces more accurate estimates than only expert‐based or only model‐based estimates. Furthermore, both students and practitioners perceived the usefulness and understandability of the method positively.

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Utilizing Change Impact Analysis for Effort Estimation in Agile Development

Cited by 6 publications

References 15 publications

A Review Article on Software Effort Estimation in Agile Methodology

A Review Article on Software Effort Estimation in Agile Methodology

A Fuzzy AHP-based approach for prioritization of cost overhead factors in agile software development

An evaluation of effort estimation supported by change impact analysis in agile software development

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