Applying Software Effort Estimation Model Based on Work Breakdown Structure

Lee, Wen-Tin; Hsu, Kuo-Hsun; Kuo, Jong-Yih

doi:10.1109/icgec.2012.68

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Our previous studies 22,25 have used the DSM to evaluate and build relations among goals and use cases.…”

Section: Dsm and Mdmmentioning

confidence: 99%

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Process modeling and analysis of service-oriented architecture–based wireless sensor network applications using multiple-domain matrix

Lee

2016

International Journal of Distributed Sensor Networks

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The wireless sensor network represents distributed environment that consists of sensors and actuators to monitor and control real-world objects and devices. Web services and service-oriented architecture are fundamental elements to provide on-demand applications. The integration of business processes with wireless sensor network and serviceoriented architecture will result in a better alignment of enterprise applications. This article uses multiple-domain matrix extensions called the business process model and notation-multiple-domain matrix to analyze structures of and relations among processes modeled in the business process model and notation with wireless sensor network elements and services. By applying an organization-activity multiple-domain matrix partitioning algorithm, different organizations and coupled activities with cyclic relations are identified to provide process structure information in a matrix perspective, which promote business process analysis and optimization. The partitioning analysis results can be used to form an initial software architecture which includes subsystems or packages so that the architecture-centric software engineering practice can be applied to help the development of wireless sensor network applications. Two process examples of wireless sensor network applications were used and analyzed for illustration and validation purposes.

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“…Our previous studies 22,25 have used the DSM to evaluate and build relations among goals and use cases.…”

Section: Dsm and Mdmmentioning

confidence: 99%

“…Our previous studies 22,25 have used the DSM to evaluate and build relations among goals and use cases. The partition results can be used to analyze the affected work product and required effort during requirement change.…”

Section: Dsm and Mdmmentioning

confidence: 99%

Process modeling and analysis of service-oriented architecture–based wireless sensor network applications using multiple-domain matrix

Lee

2016

International Journal of Distributed Sensor Networks

Self Cite

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“…Initial papers published on this topic discussed techniques such as COCOMO, SEER, PRICE-S, Checkpoint, SLIM, Delphi Technique, and COCOMO II [17]. ere also exist techniques based on function point analysis (FPA) [18][19][20][21], use case point analysis (UCP) [22][23][24], and Work Breakdown Structure (WBS) [25]. Several research papers discussed analogy-based approach [26][27][28][29][30][31][32] and case-based reasoning (CBR) approach [33,34].…”

Section: Introductionmentioning

confidence: 99%

Evolution of Software Development Effort and Cost Estimation Techniques: Five Decades Study Using Automated Text Mining Approach

Jadhav

Kaur

Akter

2022

Mathematical Problems in Engineering

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Software development effort and cost estimation (SDECE) is one of the most important tasks in the field of software engineering. A large number of research papers have been published on this topic in the last five decades. Investigating research trends using a systematic literature review when such a large number of research papers are published is a very tedious and time-consuming task. Therefore, in this research paper, we propose a generic automated text mining framework to investigate research trends by analyzing the title, author’s keywords, and abstract of the research papers. The proposed framework is used to investigate research trends by analyzing the title, keywords, and abstract of select 1015 research papers published on SDECE in the last five decades. We have identified the most popular SDECE techniques in each decade to understand how SDECE has evolved in the past five decades. It is found that artificial neural network, fuzzy logic, regression, analogy-based approach, and COCOMO methods are the most used techniques for SDECE followed by optimization, use case point, machine learning, and function point analysis. The NASA and ISBSG are the most used dataset for SDECE. The MMRE, MRE, and PRED are the most used accuracy measures for SDECE. Results of the proposed framework are validated by comparing it with the outcome of the previously published review work and we found that the results are consistent. We have also carried out a detailed bibliometric analysis and metareview of the review and survey papers published on SDECE. This research study is significant for the development of new models for cost and effort estimations.

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TSoptEE: two-stage optimization technique for software development effort estimation

Manchala,

Bisi

2024

Cluster Comput

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Applying Software Effort Estimation Model Based on Work Breakdown Structure

Cited by 6 publications

References 2 publications

Process modeling and analysis of service-oriented architecture–based wireless sensor network applications using multiple-domain matrix

Process modeling and analysis of service-oriented architecture–based wireless sensor network applications using multiple-domain matrix

Evolution of Software Development Effort and Cost Estimation Techniques: Five Decades Study Using Automated Text Mining Approach

TSoptEE: two-stage optimization technique for software development effort estimation

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