Abstract
A lot of effort and literature has been developed for conventional software. Defect prediction models can be helpful for project managers to improve the quality of software. However, there is insufficient literature concerning the defect proneness of handheld device (mobile) applications, (henceforth HHDA) instead of conventional applications. Still, no efforts were accomplished to figure out the distinct characteristics of handheld device app bugs and their dispersion among the layered architecture of applications. This paper aims to investigate bug proneness of handheld device applications in contrast with the conventional application. In this work, the authors analyzed the bug distribution of HHDA and conventional apps in the different layer of the architecture. There are 15591 bugs of 28 distinct applications have considered. Two-way ANOVA and Bootstrapping approach have used. This empirical analysis firmly administers that mobile application is more defect prone as compared to conventional applications in the presentation layer.
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Pandey, M., Litoriya, R., Pandey, P. (2019). Empirical Analysis of Defects in Handheld Device Applications. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-13-9942-8_10
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DOI: https://doi.org/10.1007/978-981-13-9942-8_10
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