Proceedings of the 2nd International Workshop on Quality-Aware DevOps最新文献

Towards a UML profile for data intensive applications 为数据密集型应用程序创建UML概要文件

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945412

A. Gómez, J. Merseguer, E. D. Nitto, D. Tamburri

引用次数: 21

DICE fault injection tool DICE断层注入工具

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945415

Craig Sheridan, D. Whigham, Matej Artac

引用次数: 6

Coverage-based metrics for cloud adaptation 基于覆盖率的云适应指标

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945409

Y. Magid, Rachel Tzoref, Marcel Zalmanovici

{"title":"Coverage-based metrics for cloud adaptation","authors":"Y. Magid, Rachel Tzoref, Marcel Zalmanovici","doi":"10.1145/2945408.2945409","DOIUrl":"https://doi.org/10.1145/2945408.2945409","url":null,"abstract":"This work introduces novel combinatorial coverage based metrics for deciding upon automated Cloud infrastructure adaptation. Our approach utilizes a Combinatorial Testing engine, traditionally used for testing at the development phase, in order to measure the load behavior of a system in production. We determine how much the measured load behavior at runtime differs from the one observed during testing. We further estimate the involved risk of encountering untested behavior in the current configuration of the system as well as when transitioning to a new Cloud configuration using possible adaptation actions such as migration and scale-out. Based on our risk assessment, a Cloud adaptation engine may consequently decide on an adaptation action in order to transform the system to a configuration with a lesser associated risk. Our work is part of a larger project that deals with automated Cloud infrastructure adaptation. We introduce the overall approach for automated adaptation, as well as our coverage-based metrics for risk assessment and the algorithms to calculate them. We demonstrate our metrics on an example setting consisting of two sub-components with multiple instances, comprising a typical installation of a telephony application.","PeriodicalId":240965,"journal":{"name":"Proceedings of the 2nd International Workshop on Quality-Aware DevOps","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125535380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Model-driven continuous deployment for quality DevOps 为高质量的DevOps进行模型驱动的持续部署

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945417

Matej Artac, Tadej Borovsak, E. D. Nitto, M. Guerriero, D. Tamburri

引用次数: 31

A software architecture framework for quality-aware DevOps 一个用于有质量意识的DevOps的软件架构框架

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945411

E. D. Nitto, Pooyan Jamshidi, M. Guerriero, I. Spais, D. Tamburri

引用次数: 26

Management challenges for DevOps adoption within UK SMEs 英国中小企业采用DevOps的管理挑战

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945410

Stephen D. Jones, J. Noppen, F. Lettice

{"title":"Management challenges for DevOps adoption within UK SMEs","authors":"Stephen D. Jones, J. Noppen, F. Lettice","doi":"10.1145/2945408.2945410","DOIUrl":"https://doi.org/10.1145/2945408.2945410","url":null,"abstract":"The DevOps phenomenon is gathering pace as more UK organisations seek to leverage the benefits it can potentially bring to software engineering functions. However substantial organisational change is inherent to adopting DevOps, especially where there are prior and established methods. As part of a wider piece of doctoral research investigating the management challenges of DevOps adoption, we present early findings of a six month qualitative diary study following the adoption of DevOps within a UK based SME with over 200 employees. We find that within our case study organisation, the DevOps approach is being adopted for the development of a new system used both internally and by customers. DevOps, conceptually, appears to be generally well regarded, but in reality is proving difficult to fully adopt. This difficulty is down to a combination of necessity in maintaining a legacy system, lack of senior management buy-in, managerial structure and resistance. Additionally, we are finding evidence of job crafting, especially with the software developers. Taken together, we put forward the argument that DevOps is an interdisciplinary topic which would greatly benefit from further management and potentially psychology oriented research attention.","PeriodicalId":240965,"journal":{"name":"Proceedings of the 2nd International Workshop on Quality-Aware DevOps","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116952752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 36

A tool for verification of big-data applications 大数据应用验证工具

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945419

M. Bersani, F. Marconi, M. Rossi, Madalina Erascu

引用次数: 8

PET: continuous performance evaluation tool PET:连续性能评估工具

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945418

J. Kross, Felix Willnecker, Thomas Zwickl, H. Krcmar

引用次数: 9

TemPerf: temporal correlation between performance metrics and source code tempf:性能指标和源代码之间的时间相关性

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945420

Jürgen Cito, Genc Mazlami, P. Leitner

引用次数: 2

The M3 (measure-measure-model) tool-chain for performance prediction of multi-tier applications 用于多层应用程序性能预测的M3(度量-度量-模型)工具链

Proceedings of the 2nd International Workshop on Quality-Aware DevOps Pub Date : 2016-07-21 DOI: 10.1145/2945408.2945414

Devidas Gawali, V. Apte

{"title":"The M3 (measure-measure-model) tool-chain for performance prediction of multi-tier applications","authors":"Devidas Gawali, V. Apte","doi":"10.1145/2945408.2945414","DOIUrl":"https://doi.org/10.1145/2945408.2945414","url":null,"abstract":"Performance prediction of multi-tier applications is a critical step in the life-cycle of an application. However, the target hardware platform on which performance prediction is re- quired is often different from the testbed one on which the application performance can be measured, and is usually un- available for deployment and load testing of the application. In this paper, we present M3 , our Measure-Measure-Model method, which uses a pipeline of three tools to solve this problem. The tool-chain starts with AutoPerf, which mea- sures the CPU service demands of the application on the testbed. CloneGen then takes this and the number and size of network calls as input and generates a clone, whose CPU service demand matches the application’s. This clone is then deployed on the target, instead of the original application, since its code is simple, does not need a full database, and is thus easier to install. AutoPerf is used again to measure CPU service demand of the clone on the target, under light load generation. Finally, this service demand is fed into PerfCenter which is a multi-tier application performance modeling tool, which can then predict the application per- formance on the target under any workload. We validated the predictions made using the M3 tool-chain against direct measurement made on two applications - DellDVD and RU- BiS, on various combinations of testbed and target platforms (Intel and AMD servers) and found that in almost all cases, prediction error was less than 20%.","PeriodicalId":240965,"journal":{"name":"Proceedings of the 2nd International Workshop on Quality-Aware DevOps","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124394174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2