Metrics and laws of software evolution-the nineties view

Lehman, M. M.; Ramil, Juan F.; Wernick, Paul; Perry, Dewayne E.; Turski, Władysław M.

doi:10.1109/metric.1997.637156

Cited by 376 publications

(332 citation statements)

References 12 publications

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“…Meir M. Lehman and his colleagues, have introduced, and subsequently amended, enriched and corrected a set of rules on the behavior of software as it evolves over time [1], [2], [3]. Lehman's laws focus on E-type systems, that concern "software solving a problem or addressing an application in the real-world" [2].…”

Section: Lehman Laws Of Software Evolution In a Nutshellmentioning

confidence: 99%

“…Lehman's laws focus on E-type systems, that concern "software solving a problem or addressing an application in the real-world" [2]. The main idea behind the laws of evolution for E-type software systems is that their evolution is a process that follows the behavior of a feedback-based system.…”

Section: Lehman Laws Of Software Evolution In a Nutshellmentioning

confidence: 99%

“…Its experimental evaluation typically refers to the possibility of demonstrating adherence to a basic formula of feedback, by estimating the size of the system (here: in terms of number of relations) accurately -i.e., with small error compared to the actual values. The formula typically used [2] is:…”

Section: Law Of Feedback System (Law Viii)mentioning

confidence: 99%

“…2). Their findings, that were reviewed and enhanced for nearly 40 years [2], [3], have, since then, given an insight to managers, software developers and researchers, as to what evolves in the lifetime of a software system, and why it does so. Other studies ( [4], [5], [6] to name a few significant ones) have complemented these insights in this field, typically with particular focus to open-source software projects.…”

Section: Introductionmentioning

confidence: 99%

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Open-Source Databases: Within, Outside, or Beyond Lehman’s Laws of Software Evolution?

Skoulis

Vassiliadis

Zarras

2014

Advanced Information Systems Engineering

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Abstract. Lehman's laws of software evolution is a well-established set of observations (matured during the last forty years) on how the typical software systems evolve. However, the applicability of these laws on databases has not been studied so far. To this end, we have performed a thorough, large-scale study on the evolution of databases that are part of larger open source projects, publicly available through open source repositories, and report on the validity of the laws on the grounds of properties like size, growth, and amount of change per version.

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Section: Lehman Laws Of Software Evolution In a Nutshellmentioning

confidence: 99%

Section: Lehman Laws Of Software Evolution In a Nutshellmentioning

confidence: 99%

Section: Law Of Feedback System (Law Viii)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Open-Source Databases: Within, Outside, or Beyond Lehman’s Laws of Software Evolution?

Skoulis

Vassiliadis

Zarras

2014

Advanced Information Systems Engineering

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“…Lee et al [9] provide an overview of open source software evolution with software metrics. The authors explored the evolution of an open source software system in terms of size, coupling and cohesion, and discuss its quality change based on the Lehman's laws of evolution [4], [5], [27]. Jermakovics et al [28] propose an approach to visually identify software evolution patterns related to requirements.…”

Section: Related Workmentioning

confidence: 99%

Metrics and Software Quality Evolution: A Case Study on Open Source Software

Drouin¹,

Badri²,

Touré³

2013

IJCTE

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Abstract-This paper aims at analyzing empirically the quality evolution of an open source software using metrics. We used a control flow based metric (Quality Assurance IndicatorQi) which we proposed in a previous work. We wanted to investigate if the Qi metric can be used to observe how quality evolves along the evolution of the successive released versions of the subject software system. We addressed software quality from an internal perspective. We performed an empirical analysis using historical data on the subject system (Apache Tomcat). The collected data cover, in fact, a period of more than seven years (thirty-one versions in total). Empirical results provide evidence that the Qi metric reflects properly the quality evolution of the subject system.

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