The intelligent software application method: Real time mode lengering object monitoring based on safety management

Сусарев, С. В.; Gubanov, Nikolay G; Melnikova, D. A.; Sarbitova, Y. V.; Odintsova, Anastasia

doi:10.1109/ctsys.2017.8109522

Cited by 1 publication

(1 citation statement)

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“…This fact was discussed by Sarro et al using multi-objective based approach in order to incorporate adaptivity in their design [36]. Usage of software intelligence was investigated by Susarev et al in order to study about the safety factors essential for essential software management [37]. There exists various forms of research-based studies towards risk management but very less models are found to be investigated from the viewpoint of software engineering.…”

Section: Introductionmentioning

confidence: 99%

PORM: Predictive Optimization of Risk Management to control Uncertainty Problems in Software Engineering

Firdose¹,

Rao²

2018

IJECE

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Irrespective of different research-based approaches toward risk management, developing a precise model towards risk management is found to be a computationally challenging task owing to critical and vague definition of the origination of the problems. This research work introduces a model called as PROM i.e. Predictive Optimization of Risk Management with the perspective of software engineering. The significant contribution of PORM is to offer a reliable computation of risk analysis by considering generalized practical scenario of software development practices in Information Technology (IT) industry. The proposed PORM system is also designed and equipped with better risk factor assessment with an aid of machine learning approach without having more involvement of iteration. The study outcome shows that PORM system offers computationally cost effective analysis of risk factor as assessed with respect to different quality standards of object oriented system involved in every software projects.

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Section: Introductionmentioning

confidence: 99%