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Improving Agile Methods

Barbara Russo, Marco Scotto, Alberto Sillitti, Giancarlo Succi

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Abstract

Apart from personal experience, anecdotal evidence and demonstrations are still the most prevalent and diffused methods on which software engineers have to base their knowledge and decisions. Although – by searching on line databases such as the ACM1 or IEEE2 libraries – we find numerous papers for example on software quality or cost estimation many of them either do not perform any empirical validation at all (they are mostly experience reports or base ideas more on personal opinion than hard data) or the performed validation has limited scientific value

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What this paper is about

Apart from personal experience, anecdotal evidence and demonstrations are still the most prevalent and diffused methods on which software engineers have to base their knowledge and decisions. Although – by searching on line databases such as the ACM1 or IEEE2 libraries – we find numerous papers for example on software quality or cost estimation many of them either do not perform any empirical validation at all (they are mostly experience reports or base ideas more on personal opinion than hard data) or the performed validation has limited scientific value

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Available abstract

Apart from personal experience, anecdotal evidence and demonstrations are still the most prevalent and diffused methods on which software engineers have to base their knowledge and decisions. Although – by searching on line databases such as the ACM1 or IEEE2 libraries – we find numerous papers for example on software quality or cost estimation many of them either do not perform any empirical validation at all (they are mostly experience reports or base ideas more on personal opinion than hard data) or the performed validation has limited scientific value

Key concepts: Agile software development, Computer science, Software, Quality (philosophy), Base (topology), Data science, Value (mathematics), Knowledge base

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