Search Results

Recent scientific studies are targeted at applying and assessing the effectiveness of Machine Learning (ML) approaches for cost estimation during the preliminary design phases. To train ML prediction models, comprehensive and structured datasets ...

• A parametric cost modelling method based on supervised machine learning algorithms.
• An analytical cost estimation software tool generates the training dataset for machine learning.
• A method for cost estimating components during the ...

• Agile and non-agile software development typically have similar front-end phases.
• Agile software development with less detail in the front-end phase performed better.
• The front-end phase content should be context-dependent avoiding ...

Software development of new products and services often involves a front-end phase where user needs are analysed, costs and benefits are estimated, and initial plans are created.

This study aims to learn more about how the ...

Digitization increases business opportunities and the risk of companies being victims of devastating cyberattacks. Therefore, managing risk exposure and cybersecurity strategies is essential for digitized companies that aim to survive in ...

This study presents an innovative approach to seamlessly integrate Building Information Modeling (BIM) and Virtual Reality (VR) technologies to facilitate layout changes and accurate cost estimation in construction and architectural projects. By ...

By applying the UNISON, this study aims to develop a framework for a digital cost estimation system by integrating data-driven methodologies, search engines for market information and domain knowledge to improve decision quality and ...

• Our research integrates document data into a cost estimation system that uses real-time market data updates.
• Meta-Learning and Bayesian Hyperparameter-tuning are applied to improve predictive model accuracy and faster training process.

It is increasingly challenging to estimate product cost to optimize the quotation decision for aerospace manufacturing companies owing to the diversity of designations, intermittent demands, complicated decision procedure between different ...

Agile software development (ASD) is a widely-used practical approach for effective project management that intends to satisfy the client’s needs through continuous testing and frequent delivery. Accurate cost estimation plays a ...

• Systematically reviews various estimation techniques and cost drivers in ASD.
• ...

A recurring statement in the literature is that cost estimations in software projects are problematic, but the evidence for such a statement is often unclear. In this paper, we analyze a project repository consisting of 338 software projects from ...$\frac{}{}\mathrm{}$$\frac{}{}\mathrm{}$

• In this article, all 36 dimensional success factors are considered to estimate the required effort and cost to develop any Agile-Scrum based software ...

Effort and cost estimation is essential processes during software development. For agile methodologies as well, several approaches have been proposed so far to estimate the required effort and cost to develop any software system. ...

The performance of XPath query is the key factor to the capacity of XML processing. It is an important way to improve the performance of XPath by making full use of multi-threaded computing resources for parallel processing. However, in the ...

The majority of parts in modern car bodies is manufactured from sheet metal. Rarely these parts are fully stressed due to design space restrictions and complex requirements. The usage of tailor rolled blanks (TRB) enables the reduction of sheet ...

Early cost estimation of machined parts is difficult as it requires detailed process information that is not usually available during product design. Parametric methods address this issue by estimating machining time from predictors related to ...

• Explainable artificial intelligence can estimate and interpret manufacturing costs.

Studies on manufacturing cost prediction based on deep learning have begun in recent years, but the cost prediction rationale cannot be explained because the models are still used as a black box. This study aims to propose a ...

• A structured literature review on intelligent cost estimation is carried out using Text Mining techniques.
• Intelligent cost estimation systems are divided into four performance building blocks.
• Multilevel Cost Estimation and ...

In the automotive industry, cost estimation of components to be purchased plays an important role for price negotiations with suppliers and, therefore, for cost control within the supply chain. While traditional bottom-up cost estimation is a ...

This paper defines software maintenance activities and develops a model for maintenance cost estimation of package software. First, we classified software maintenance activities which were collected from the literature reviews. Second, we ...

An increasing number of applications require to recognize the class of an incoming time series as quickly as possible without unduly compromising the accuracy of the prediction. In this paper, we put forward a new optimization criterion which ...

With the increasing cost of electricity, Cloud providers consider energy consumption as one of the major cost factors to be maintained within their infrastructure. Consequently, various proactive and reactive management mechanisms are ...

• The paper explores the aspect of sustainable computing over the problem domains of cloud computing application deployment and operation costs, energy ...

A huge interest in astronomy has caused many astronomers and developers to collaborate to create software programs in this field. Open source software (OSS) is playing a vital and positive role in space activities and can make a substantial difference ...

Wireless sensor nodes generally have less memory and low battery life. Due to this constraint, a strong algorithm is needed which can reduce the energy consumption. Communication in wireless sensor network (WSN) depends on active number of ...

New product development (NPD) is a crucial process in maintaining a companys competitive position and succeeding in dynamic markets. One of contemporary trends in the global economy is mass customisation that bases on modifications of existing products ...

A novel approach of improving professional practice.Incorporation of expert reasoning by integrating syntax, semantic and pragmatic of professional practice.Convert code of practice into computable processes.Improve implementation of semantic ...