Using Web Objects for Development Effort Estimation of Web Applications: A Replicated Study

Martino, Sergio Di; Ferrucci, Filomena; Gravino, Carmine; Sarro, Federica

doi:10.1007/978-3-642-21843-9_16

Cited by 11 publications

(7 citation statements)

References 23 publications

(67 reference statements)

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“…Data from 25 web projects were used to empirically analyse the results and it was found that WO performed statistically better effort estimation when used in combination with OLSR or CBR or Web-COBRA estimation techniques than FP as sizing measure. This study further mentioned that WO with web-COBRA produced best results than CBR and OLSR and there is no statically significant difference in results obtained withOLSR, CBR and Web-COBRA [36].…”

Section: Literature Reviewmentioning

confidence: 49%

Effort Estimation Techniques for Web Application Development: A Review

Saif

2017

ijarcs

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In present era of information technology web applications have become an indispensable and most pivotal source to disseminate information across geographically distant nodes. Most of the organisation public or private have switched their existence from traditional software based systems to web based software systems. Many characteristic differences between traditional software and web based software application made web based existence more popular with wide range adoption. The sudden surge in web application usability across different organisation have posed a grave challenge for web development companies to deliver their products onetime and within budget with much expected accurately, efficiency and reliability. Effort estimation is main domain that decides the budgetary constraints associated with web application development. Accurate estimates are very essential for both developer and client. Accurate estimates make web development companies to maintain their reputation, competitive edge and client base. Inaccuracy in effort estimates results to lose revenue, client base and competitive strength. Effort estimation is very import for every development organisation to estimate the development work in early stages of development to prove efficient, accurate and much reliable budget estimates. This paper is an effort to explore various effort estimation techniques for web development, their challenges and measures to predict accurate efforts.

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Section: Literature Reviewmentioning

confidence: 49%

Effort Estimation Techniques for Web Application Development: A Review

Saif

2017

ijarcs

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“…We believe that the results presented in this paper together with a ready-to-use baseline tool can foster more rigorous benchmarking in future effort estimation studies. Moreover, future work could investigate the effectiveness of LP for different effort estimation scenarios (e.g., cross-vs. within-company [Mendes et al 2014;Minku et al 2015], chronological estimation [MacDonell and Shepperd 2003;Sigweni et al 2016], web effort estimation [Di Martino et al 2011;Ferrucci et al 2012;Di Martino et al 2016]) as well as for different estimation tasks in software engineering (e.g., predicting apps' rating [Sarro et al 2018] and size [Ferrucci et al 2015a;2015b], bug-fixing time [Bhattacharya and Neamtiu 2011;Zhang et al 2013]) or in other domains. Besides, future studies could extend the LP model we proposed herein, for example to consider different and multiple optimisation functions [Ferrucci et al 2010a;.…”

Section: Discussionmentioning

confidence: 99%

Linear Programming as a Baseline for Software Effort Estimation

Sarro

Petrozziello

2018

ACM Trans. Softw. Eng. Methodol.

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Software effort estimation studies still suffer from discordant empirical results (i.e., conclusion instability) mainly due to the lack of rigorous benchmarking methods. So far only one baseline model, namely Automatically Transformed Linear Model (ATLM), has been proposed yet it has not been extensively assessed. In this paper, we propose a novel method based on Linear Programming (dubbed as Linear Programming for Effort Estimation, LP4EE) and carry out a thorough empirical study to evaluate the effectiveness of both LP4EE and ATLM for benchmarking widely used effort estimation techniques. The results of our study confirm the need to benchmark every other proposal against accurate and robust baselines. They also reveal that LP4EE is more accurate than ATLM for 17% of the experiments and more robust than ATLM against different data splits and cross-validation methods for 44% of the cases. These results suggest that using LP4EE as a baseline can help reduce conclusion instability. We make publicly available an open-source implementation of LP4EE in order to facilitate its adoption in future studies. CCS Concepts: r Software and its engineering → Software creation and management;

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“…In web application development effort estimations, this technique is the most used one because it provides quite accurate results (Costagliola et al, 2006;Di Martino et al, 2007;Martino et al, 2011;Mendes, 2007;Mendes et al, 2003a;Ruhe et al, 2003). In the study conducted, we tried to predict a web application development effort only on the basis of web application size expressed using CFP.…”

Section: Validation Methodsmentioning

confidence: 99%