Mobile Application Development: How to Estimate the Effort?

Souza, Laudson Silva de; Aquino, Gibeon Soares de

doi:10.1007/978-3-319-09156-3_5

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…One of the major challenges of Software Testing is Device Frag-mentation [32], [4], [19], [32], [45], [1], [14], [33]. Variations in the hardware or O.S.…”

Section: Device Fragmentationmentioning

confidence: 99%

“…The application is expected to work with 2G, 3G, 4G or 5G network, Infrared, Bluetooth, GPS, NFC (Near-Field Communication), WiMAX, low signal strength and different Wi-Fi speeds [1]. Some applications are even expected to work the same in nonetwork or offline condition as well with synchronization done [19], [14]. In addition, a single application can also be expected to sustain in multiple types of connectivity simultaneously [32].…”

Section: Connectivitymentioning

confidence: 99%

See 1 more Smart Citation

A Scoping Review on Automated Software Testing with Special Reference to Android Based Mobile Application Testing

Musthafa

Mansur

Wibawanto

et al. 2021

Int J on Adv. in ICT for Emerging Countries

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Despite all the techniques practiced for ensuring the quality of a software product, software testing is being the widely accepted practice. With the explosive evolution and the usage of mobile application, new developments in the process of software testing are introduced too to acquire market presence in mobile application development by introducing high quality products. As of this the introduction of automated tools for testing has gained attention in the last few years. Though the topic of automation in software testing has been there for a while, introduction of new tools and techniques has gained attention recently. Hence, this research work focuses on investigating and analyzing the current trends on automated testing of mobile application by choosing the android platform as a case study. With the aim of fact finding, a systematic literature review was carried out on existing studies which were retrieved from different databases by exploring the electronic search space. It discusses the points based on the chosen research questions by referring the papers cited. The topics discussed in this review article includes the facts related to why and how automated testing on mobile application, the tools and techniques used and the challenges on it. This work also highlights why the focus has been concentrated on the mobile application testing rather than generally highlighting the importance of automated software testing. As a conclusion the paper proposes some good practices on the topic based on existing literature reviewed and referred throughout the study.

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“…One of the major challenges of Software Testing is Device Frag-mentation [32], [4], [19], [32], [45], [1], [14], [33]. Variations in the hardware or O.S.…”

Section: Device Fragmentationmentioning

confidence: 99%

Section: Connectivitymentioning

confidence: 99%

A Scoping Review on Automated Software Testing with Special Reference to Android Based Mobile Application Testing

Musthafa

Mansur

Wibawanto

et al. 2021

Int J on Adv. in ICT for Emerging Countries

View full text Add to dashboard Cite

show abstract

“…The same authors also had a case study that simulated the game Angry Bird mobile app to demonstrate the advantages of uses UML representations in COSMIC FSM calculations [52]. Along similar lines, Souza and Aquino [53] proposed a new method that is adopted in the FiSMA method; however, their study suffered from a lack of empirical evidence and no experts were included when conducting said method. This approach has not been evaluated, nor has the accuracy of the predication method been measured.…”

Section: Techniques Using Functional Size Measurementmentioning

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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“…But there are certain characteristics specific for developing mobile applications in addition to all other productivity factors. Laudson and Gibeon (2014) [5] have done a systematic review to identify characteristics that are inherent to systems and mobile. The 13 types of characteristics have been observed by them .The description of each characteristic identified is given below:-…”

Section: Need Of Separate Development Model For Mobile Applicationsmentioning

confidence: 99%

Suitability of Existing Software Development Life Cycle (SDLC) in Context of Mobile Application Development Life Cycle (MADLC)

Kaur¹,

Kaur²

2015

IJCA

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Mobile technology has seen a steep rise in its demand and usage, which has further increased the need for specialized software for mobile devices. For developing mobile applications, existing software development process models are incorporated. But looking at the remarkable growth of mobile devices, the complexity involved in development of mobile applications needs a dedicated life cycle process model, instead of using traditional life cycle process models. Although many existing life cycle models are adapted for mobile apps development but there are certain constraints that needs to be addressed specifically, such as Performance Factor, Power Factor, Band Factor, Connectivity Factor, Context Factor, Graphic Interface Factor, Input Interface Factor, etc. It is a stimulating task to develop mobile application due to these technical constraints. In this paper, a comparative analysis of traditional software life cycle models that are widely used in software development and also discussed the strengths and weakness of using these models for mobile application development. It also emphasize on need for dedicated mobile application development life cycle process in order to provide high quality mobile apps and minimize mobile app development problems and errors that are faced at later stage.

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Mobile Application Development: How to Estimate the Effort?

Cited by 6 publications

References 7 publications

A Scoping Review on Automated Software Testing with Special Reference to Android Based Mobile Application Testing

A Scoping Review on Automated Software Testing with Special Reference to Android Based Mobile Application Testing

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

Suitability of Existing Software Development Life Cycle (SDLC) in Context of Mobile Application Development Life Cycle (MADLC)

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