Evaluating sliding and sticky target policies by measuring temporal drift in acyclic walks through a web archive

This empirical paper examines the adoption of PHP releases in the the contemporary world wide web. Motivated by continuous software engineering practices and software traceability improvements for release engineering, the empirical analysis is based on big data collected by web crawling. According to the empirical results based on discrete time-homogeneous Markov chain (DTMC) analysis, (i) adoption of PHP releases has been relatively uniform across the domains observed, (ii) which tend to also adopt either old or new PHP releases relatively infrequently. Although there are outliers, (iii) downgrading of PHP releases is generally rare. To some extent, (iv) the results vary between the recent history from 2016 to early 2017 and the long-run evolution in the 2010s. In addition to these empirical results, the paper contributes to the software evolution and release engineering research traditions by elaborating the applied use of DTMCs for systematic empirical tracing of online software deployments.

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Only One Out of Five Archived Web Pages Existed as Presented

Ainsworth

Nelson

Sompel

2015

Proceedings of the 26th ACM Conference on Hypertext &Amp; Social Media - HT '15

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When a user retrieves a page from a web archive, the page is marked with the acquisition datetime of the root resource, which effectively asserts "this is how the page looked at a that datetime." However, embedded resources, such as images, are often archived at different datetimes than the main page. The presentation appears temporally coherent, but is composed from resources acquired over a wide range of datetimes. We examine the completeness and temporal coherence of composite archived resources (composite mementos) under two selection heuristics. The completeness and temporal coherence achieved using a single archive was compared to the results achieved using multiple archives. We found that at most 38.7% of composite mementos are both temporally coherent and that at most only 17.9% (roughly 1 in 5) are temporally coherent and 100% complete. Using multiple archives increases mean completeness by 3.1-4.1% but also reduces temporal coherence.

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Evaluating sliding and sticky target policies by measuring temporal drift in acyclic walks through a web archive

Cited by 4 publications

References 14 publications

Avoiding spoilers: wiki time travel with Sheldon Cooper

Avoiding spoilers: wiki time travel with Sheldon Cooper

How PHP Releases Are Adopted in the Wild?

Only One Out of Five Archived Web Pages Existed as Presented

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