It's summer recess time on The Morning Paper. I'm taking July off from daily publishing, and paper reviews will resume again on Monday 3rd August. I've hugely enjoyed interacting with all of you over the last few months - according to WordPress there have been just shy of a quarter of a million visits to … Continue reading Summer Recess
Month: June 2015
Helping Developers Help Themselves: Automatic Decomposition of Code Review Changes
Helping Developers Help Themselves: Automatic Decomposition of Code Review Changes - Barnett et al. 2015 Earlier this week we saw that pull requests with well organised commits are strongly preferred by integrators. Unfortunately, developers often make changes that incorporate multiple bug fixes, feature additions, refactorings, etc.. These result in changes that are both large and … Continue reading Helping Developers Help Themselves: Automatic Decomposition of Code Review Changes
The Art of Testing Less Without Sacrificing Quality
The Art of Testing Less Without Sacrificing Quality - Herzig et al. 2015 Why on earth would anyone want to test less? Maybe if you could guarantee the same eventually quality, and save a couple of million dollars along the way... By nature, system and compliance tests are complex and time-consuming although they rarely find … Continue reading The Art of Testing Less Without Sacrificing Quality
When and Why Your Code Starts to Smell Bad
When and Why Your Code Starts to Smell Bad - Tufano et al. 2015 Yesterday we saw that maintaining project quality is a key issue for integrators (maintainers). So it seems appropriate that my third choice from the recent ICSE '15 conference papers examines the question of when quality starts to slip at the code … Continue reading When and Why Your Code Starts to Smell Bad
Work Practices and Challenges in Pull-Based Development
Work Practices and Challenges in Pull-based Development - Gousios et al. 2015 In the recent years, we are witnessing that collaborative, lightweight code review is increasingly becoming the default mechanism for integrating changes, in both collocated and distributed development. Effectively, the pull request (in various forms) is becoming the atomic unit of software change. How … Continue reading Work Practices and Challenges in Pull-Based Development
How Much Up-Front? A Grounded Theory of Agile Architecture
How Much Up-Front? A Grounded Theory of Agile Architecture - Waterman et al. 2015 It's time for something a little bit different, so this week I thought I'd bring you a selection of papers from the recently held ICSE'15 conference (International Conference on Software Engineering). To kick things off, today's choice looks at the question … Continue reading How Much Up-Front? A Grounded Theory of Agile Architecture
Discretized Streams: Fault Tolerant Stream Computing at Scale
Discretized Streams: Fault Tolerant Stream Computing at Scale - Zaharia et al. 2013 This is the Spark Streaming paper, and it sets out very clearly the problem that Discretized Streams were designed to solve: dealing effectively with faults and stragglers when processing streams in large clusters. This is hard to do in the traditional continuous … Continue reading Discretized Streams: Fault Tolerant Stream Computing at Scale
Spinning Fast Iterative Dataflows
Spinning Fast Iterative Dataflows - Ewen et al. 2012 Last week we saw how Naiad combines low-latency stream processing with iterative computation, and yesterday we looked in more detail at the Differential Dataflow model for incremental processing (needed for low-latency). The Apache Flink project also combines low-latency stream processing with support for incremental, iterative computation. … Continue reading Spinning Fast Iterative Dataflows
Differential Dataflow
Differential Dataflow - McSherry et al. 2013 The ability to perform complex analyses on [datasets that are constantly being updated] is very valuable; for example, each tweet published on the Twitter social network may supply new information about the community structure of the service’s users, which could be immediately exploited for real-time recommendation services or … Continue reading Differential Dataflow
Heracles: Improving Resource Efficiency at Scale
Heracles: Improving Resource Efficiency at Scale - Lo et al. 2015 Until recently, scaling from Moore’s law provided higher compute per dollar with every server generation, allowing datacenters to scale without raising the cost. However, with several imminent challenges in technology scaling, alternate approaches are needed. Those approaches involve increasing server utilization, which is still … Continue reading Heracles: Improving Resource Efficiency at Scale
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