Dasturiy injinering fafulteti 310-20 gurur dasturiy taminot sifatini ta’minash Mustaqil ish



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Yunusov Mardon - mustaqil ish


O‘ZBEKISTON RESPUBLIKASI RAQAMLI
TEXNOLOGIYALAR VAZIRLIGI
MUHAMMAD AL-XORAZMIY NOMIDAGI
TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI
DASTURIY INJINERING FAFULTETI 310-20 GURUR


Dasturiy taminot sifatini ta’minash


Mustaqil ish

Bajardi: 310-20 guruh talabasi: Yunusov Mardon


Tekshirdi: Narziyev Nosir

Toshkent – 2023


Yunusov Mardon Ixtiyor o‘g‘li (Dasturiy injiniring - 310-20 DIo') - Modern Code Reviews - Reviewing Code During Development


Planning Activities and Predicting Costs

In Chapter 3 we saw that development processes can provide a broad work-flow to govern the development of a software product. In Chapter 4 we covered the various conventions and technologies that can help developers to successfully collaborate on source code. Even with those tools, there still needs to be an understanding amongst the developers of who will do what, and when. In a project with a tight time and resource constraints, how much time can be allocated to particular activities? Which


activities are the best ones to prioritise? At the end of the day, how much is the whole endeavour going to cost, and how much time will it require? Such questions are crucial to quality assurance. If the time and effort required for a project is not estimated properly, it can lead to huge cost overruns. A 2011
study of 1,1471 IT projects established that 27% of IT projects are subject to cost-overruns. More worryingly, one in six projects was subject to cost-overruns of more than 200%, and schedule overruns of 70%. In financial terms, such overruns can be disastrous. Although certain aspects of development processes can help to guard against such overruns (c.f. the use of time-boxed iterations by IID and SCRUM), these can only succeed if the developers are able to plan their work and predict the resources
required. Over the years several approaches have emerged to support these activities. This chapter presents these approaches in two parts. Section 5.1 presents approaches that support planning at a lower-level; determining when what activities should be undertaken. For this we present two general project-management techniques: PERT and Gantt charts. In section 5.2 we present techniques that are specifically geared towards predicting the cost of a project (or a portion thereof). These techniques are not concerned with the low-level sequencing of activities, but are more statistical in nature; examining previous experience and cost data to make a valid prediction of the overall cost of a project.



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