Essays about: "distributed software development"

Showing result 21 - 25 of 188 essays containing the words distributed software development.

1. 21. An Examination of Tools and Practices for Distributed Pair Programming

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Rasmus Hammer; [2022]
   Keywords : Pair programming; Distributed pair programming; Agile software development; Tools; Practices.; Parprogrammering; Distribuerad parprogrammering; Agil mjukvaruutveckling; Verktyg; Metoder.;

   Abstract : Distributed methods of working with software development grow larger each and every day. One of these methods is distributed pair programming. READ MORE

3. 22. How Distributed Pair Programming (DPP) can mitigate risk factors causing challenged IT projects : An interview study with software developers

   University essay from Linnéuniversitetet/Institutionen för informatik (IK)

   Author : Dennis Öberg; Gustaf Thim; [2022]
   Keywords : Distributed Pair Programming; DPP; Software Development; Industry; Productivity; Code Quality; IT Project failure; Distribuerad Parprogrammering; DPP; Mjukvaruutveckling; Industri; Produktivitet; Kodkvalitet; Misslyckade IT Projekt;

   Abstract : The rise of Agile project methodologies has increased the success rate of software development projects, but recent studies show that, even though the risk of failing has lessened, only 31% of the completed software development projects are declared as successful while the rest are declared either challenged or failed. A concept called Pair Programming that derives from agile methodologies is widely and basically always used by developers but in present time as we are heading towards a more remote environment and Distributed Pair Programming has become a hot topic. READ MORE

4. 23. Managing and Executing Innovation Effectively in Large-Scale Distributed Organisations: A Case Study

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : Malin Kronvall; Victoria Jansson; [2022]
   Keywords : Innovation; Large-Scale Organisations; Implementation Strategy; Motivation; Process; Innovation; Storskalig Organisation; Implementeringstratergi; Motivation; Process;

   Abstract : Background. The need for innovation is clear since it can be viewed as one of the few lasting sources of competitive advantages for a firm. Firms with large sub-organisations need to be able to manage and execute new changes effectively, and to be able to stay competitive the firm needs to change and be more innovative. READ MORE

5. 24. Defect intention : the specific challenges faced by women in open source that may predict (or influence) their intention to leave an open source software project/community

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : Ivanna Altena; Georgi A. Markov; [2022]
   Keywords : Diversity; Equity; and Inclusion; Open source; Open source software; Women in Open Source; Defect intention; Intention to leave; Multiple regression.;

   Abstract : Background Open source is largely accepted as an important innovation driver in the technology industry. Even though inclusion and diversity is beneficial for the success of technology projects (including open source software projects), many statistics are pointing out that diversity in open source is even worse than in the technology sector in general. READ MORE

6. 25. Improvement of the Rucio implementation for the LDCS platform and search for dark data

   University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Author : Piotr Yartsev; [2022]
   Keywords : Dark matter; rucio; digital infrastructure; Root; LDMX; LDCS; dark data; Python; CERN; particle physics; big data; Geant4; Light Dark Matter eXperiment; Lightweight Distributed Computing System; data storage; Physics and Astronomy;

   Abstract : In this work we aim to implement a software package to detect and categorize dark data, data not accessible or not known by the user, generated in the simulations of the Light Dark Matter eXperiment (LDMX). This will involve studying current existing solutions for such problems, attempting to implement them for the Lightweight Distributed Computing System (LDCS), and developing our own Dark Data Search (DDS) toolkit to perform the detection and categorization of the dark data. READ MORE