An Analogy-Based Effort Estimation Approach for Mobile Application Development Projects

Nitze, André; Schmietendorf, Andreas; Dumke, Reiner R.

doi:10.1109/iwsm.mensura.2014.9

Cited by 22 publications

(11 citation statements)

References 3 publications

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“…It is based on fundamental principles of software engineering and measurement theory, and conceived to be applicable to business, real-time, and infrastructure software (or hybrids of these) [2]. Recent studies have investigated the applicability of 1 st and 2 nd generation FSM methods to mobile applications [1,8,13,[23][24][25][26]. This domain is rapidly growing and new software engineering processes, including functional size measurement and estimation methods [23], might be required to improve the quality of these applications.…”

Section: Introductionmentioning

confidence: 99%

“…Recent studies have investigated the applicability of 1 st and 2 nd generation FSM methods to mobile applications [1,8,13,[23][24][25][26]. This domain is rapidly growing and new software engineering processes, including functional size measurement and estimation methods [23], might be required to improve the quality of these applications. The International Function Point User Groups (IFPUG) has proposed guidelines for the application of IFPUG FPA to mobile applications [24,25] and some software companies have used them [26].…”

Section: Introductionmentioning

confidence: 99%

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Investigating Functional and Code Size Measures for Mobile Applications

Ferrucci

Gravino

Salza

et al. 2015

2015 41st Euromicro Conference on Software Engineering and Advanced Applications

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In this paper we apply a measurement procedure proposed by van Heeringen and van Gorp to approximate the COSMIC size of mobile applications. We compare this procedure with the one introduced by D'Avanzo et al. We also replicate an empirical study recently carried out to assess whether the COSMIC functional size of mobile applications can be used to estimate the size of the final applications in terms of lines of code, number of bytes of the source code and bytecode. The results showed that the COSMIC functional size evaluated with van Heeringen and van Gorp's method was well correlated to all the size measures taken into account. Nevertheless, the prediction accuracy did not satisfy the evaluation criteria and turned out ot be slightly worse than the one obtained in the original study and based on the approach proposed by D'Avanzo et al.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigating Functional and Code Size Measures for Mobile Applications

Ferrucci

Gravino

Salza

et al. 2015

2015 41st Euromicro Conference on Software Engineering and Advanced Applications

View full text Add to dashboard Cite

show abstract

“…), and used an online questionnaire format that resulted in 169 data points; these points were used in the regression-based model. Moreover, Nitze, Schmietendorf, and Dumke [44] proposed a conceptual approach using analogy-based and function point-based techniques to estimate the effort needed for mobile app development. The method proposed certain influential factors that may affect the estimation of cost for a project.…”

Section: Technique Using Metrics/cost Driversmentioning

confidence: 99%

Effort Estimation across Mobile App Platforms using Agile Processes: A Systematic Literature Review

Altaleb¹,

Gravell²

2018

JSW

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Abstract:It is predicted that smartphone numbers will increase to 2.8B in 2018, up from around 2B in 2016. Moreover, revenue from application stores is predicted to reach $189B by 2020, up from $88.3B in 2016 1 . Software effort and size estimation are essential when it comes to project managers being able to manage and plan a project so as to prevent it from failing. The planning and development of mobile applications differs from other traditional software applications due to the characteristics of the mobile environment, high autonomy requirements, market competition, and many other constraints. Therefore, this paper presents the results of a Systematic Literature Review (SLR) concerning effort and size estimation models in mobile application development; this is followed by a summary of estimation techniques used across mobile apps. In particular, we focus on the software estimation models that are applicable to the Agile Software Development (ASD) process. The aim of this SLR is to provide researchers and practitioners with an overview of the current state-of-the-art software estimation techniques used in mobile applications. At the end of this review, some suggestions, research gaps and possible future work will be presented.

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“…The initial development costs of mHealth apps can range from the thousands to the hundreds of thousands of dollars, with factors such as the number of screens, complexity of content (static or dynamic), and inclusion of media files (e.g. video), all contributing to higher costs [18,19]. Further, there are many non-trivial issues in the development and effective design of the components of mobile health systems currently being addressed by the mobile computing research community, such as energy efficiency, data management, human-computer interaction factors, and developing flexible and generic APIs to support health apps [20,21].…”

Section: Introductionmentioning

confidence: 99%

schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions

Shatte

Teague

2020

BMC Med Res Methodol

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Background: Mobile applications for health, also known as 'mHealth apps', have experienced increasing popularity over the past ten years. However, most publicly available mHealth apps are not clinically validated, and many do not utilise evidence-based strategies. Health researchers wishing to develop and evaluate mHealth apps may be impeded by cost and technical skillset barriers. As traditionally lab-based methods are translated onto mobile platforms, robust and accessible tools are needed to enable the development of quality, evidence-based programs by clinical experts. Results: This paper introduces schema, an open-source, distributed, app-based platform for researchers to deploy behavior monitoring and health interventions onto mobile devices. The architecture and design features of the platform are discussed, including flexible scheduling, randomisation, a wide variety of survey and media elements, and distributed storage of data. The platform supports a range of research designs, including cross-sectional surveys, ecological momentary assessment, randomised controlled trials, and micro-randomised just-in-time adaptive interventions. Use cases for both researchers and participants are considered to demonstrate the flexibility and usefulness of the platform for mHealth research. Conclusions: The paper concludes by considering the strengths and limitations of the platform, and a call for support from the research community in areas of technical development and evaluation. To get started with schema, please visit the GitHub repository: https://github.com/schema-app/schema.

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An Analogy-Based Effort Estimation Approach for Mobile Application Development Projects

Cited by 22 publications

References 3 publications

Investigating Functional and Code Size Measures for Mobile Applications

Investigating Functional and Code Size Measures for Mobile Applications

Effort Estimation across Mobile App Platforms using Agile Processes: A Systematic Literature Review

schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions

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