检索结果-南通市图书馆

Intelligent analysis for software data:research and applications

在线全文

学校读者我要写书评

暂无评论

Frontiers of Information Technology & Electronic Engineering 2022年第5期23卷 661-663页

作者： Tao ZHANG Xiaobing SUN Zibin ZHENG Ge LI School of Computer Science and Engineering Macao University of Science and TechnologyMacaoChina School of Information Engineering Yangzhou UniversityYangzhou 225127China School of Software Engineering Sun Yat-sen UniversityZhuhai 519082China School of Computer Science Peking UniversityBeijing 100871China

Over the last few decades,software has been one of the primary drivers of economic growth in the world.Human life depends on reliable software;therefore,the software production process(i.e.,software design,development,testing,and maintenance)becomes one of the most important factors to ensure the quality of software.During the production process,large amounts of software data(e.g.,source code,bug reports,logs,and user reviews)are generated.

关键词： software bug testing

AI催生新工种,人类或将扮演AI“担保人”?

在线全文

学校读者我要写书评

暂无评论

商学院 2024年第5期 12-12页

作者：王有为复旦大学管理学院信息管理与商业智能系

工业革命时期,汽车的发明让马车夫职业成为“过去时”。自从AI诞生以来,关于机器将取代人类工作的担忧就从未停止过。3月13日,世界上第一位AI程序员Devin诞生,它不仅能自主学习新技术,自己改bug,还能训练和微调自己的AI模型,表现已然远... 详细信息

工业革命时期,汽车的发明让马车夫职业成为“过去时”。自从AI诞生以来,关于机器将取代人类工作的担忧就从未停止过。3月13日,世界上第一位AI程序员Devin诞生,它不仅能自主学习新技术,自己改bug,还能训练和微调自己的AI模型,表现已然远超GPT-4等“顶流选手”。

关键词：工业革命时期 bug AI 程序员

bug Triaging Based on Tossing Sequence Modeling

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2019年第5期34卷 942-956页

作者： Sheng-Qu Xi Yuan Yao Xu-Sheng Xiao Feng Xu Jian Lv State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China Department of Electrical Engineering and Computer Science Case Western Reserve UniversityCleveland Ohio 44106-7071U.S.A.

bug triaging, which routes the bug reports to potential fixers, is an integral step in software development and maintenance. To make bug triaging more efficient, many researchers propose to adopt machine learning and information retrieval techniques to identify some suitable fixers for a given bug report. However, none of the existing proposals simultaneously take into account the following three aspects that matter for the efficiency of bug triaging: 1) the textual content in the bug reports, 2) the metadata in the bug reports, and 3) the tossing sequence of the bug reports. To simultaneously make use of the above three aspects, we propose iTriage which first adopts a sequence-to-sequence model to jointly learn the features of textual content and tossing sequence, and then uses a classification model to integrate the features from textual content, metadata, and tossing sequence. Evaluation results on three different open-source projects show that the proposed approach has significantly improved the accuracy of bug triaging compared with the state-of-the-art approaches.

关键词： bug triaging tossing sequence software repository mining

What job can a bug give?A controversy over the arsenic-guzzling bacterium cultured by NASA

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Protein & Cell 2011年第4期2卷 261-263页

作者： Mingwei Sun Christopher J.Vavricka Baoli Zhu CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyChinese Academy of Sciences(CASPMI)Beijing 100101China College of Life Sciences University of Science and Technology of ChinaHefei 230027China

The mysteries of life’s evolution on our planet drive us to explore the limits of biology.Life forms on Earth as we know are composed of six essential elements:carbon,hydrogen,oxygen,nitrogen,sulfur and phosphorus.However,a recently published research work funded by the National Aeronautics and Space Administration(NASA),USA,has almost shaken the fundamental knowledge about what is life made of on Earth.The research team led by NASA astrobiologist Felisa Wolfe-Simon described a microbe isolated from California’s Mono Lake that could sustain its growth by using toxic chemical arsenic(As)instead of phosphorus(P).This surprising discovery was published online by Science Express on December 2 last year(Wolfe-Simon et al.,2010,online).If the authors of the paper were right,we would have to expand our definition of life on this planet.The arsenic-bug they grew was dubbed GFAJ-1,which interestingly stands for“Give Felisa A Job.”

关键词： bug planet Express

Memway:In-Memory Waylaying Acceleration for Practical Rowhammer Attacks Against Binaries

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Tsinghua Science and Technology 2019年第5期24卷 535-545页

作者： Lai Xu Rongwei Yu Lina Wang Weijie Liu the Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University

The Rowhammer bug is a novel micro-architectural security threat, enabling powerful privilege-escalation attacks on various mainstream platforms. It works by actively flipping bits in Dynamic Random Access Memory(DRAM) cells with unprivileged instructions. In order to set up Rowhammer against binaries in the Linux page cache, the Waylaying algorithm has previously been proposed. The Waylaying method stealthily relocates binaries onto exploitable physical addresses without exhausting system memory. However, the proof-of-concept Waylaying algorithm can be easily detected during page cache eviction because of its high disk I/O overhead and long running time. This paper proposes the more advanced Memway algorithm, which improves on Waylaying in terms of both I/O overhead and speed. Running time and disk I/O overhead are reduced by 90% by utilizing Linux tmpfs and inmemory swapping to manage eviction files. Furthermore, by combining Memway with the unprivileged posix fadvise API, the binary relocation step is made 100 times faster. Equipped with our Memway+fadvise relocation scheme,we demonstrate practical Rowhammer attacks that take only 15–200 minutes to covertly relocate a victim binary,and less than 3 seconds to flip the target instruction bit.

关键词： Rowhammer bug Waylaying algorithm in-memory swapping page cache eviction

Feeding of Riptortus pedestris on soybean plants, the primary cause of soybean staygreen syndrome in the Huang-Huai-Hai river basin

在线全文

学校读者我要写书评

暂无评论

The Crop Journal 2019年第3期7卷 360-367页

作者： Kai Li Xinxin Zhang Jianqiu Guo Hannah Penn Tingting Wu Lin Li Hong Jiang Lidan Chang Cunxiang Wu Tianfu Han Soybean Research Institute Nanjing Agricultural UniversityNanjing 210095JiangsuChina MOA Key Laboratory of Soybean Biology (Beijing) Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Luoyang Academy of Agriculture and Forestry Sciences Luoyang 471022HenanChina Department of Entomology Louisiana State UniversityLA 70803USA

Staygreen syndrome or Zhengqing in soybean has recently become a major issue for Chinese growers in the Huang-Huai-Hai river basin.Although previous studies revealed that staygreen can be induced when pods/seeds are damaged, it is unknown whether virus infection or insect infestation causes staygreen.To determine whether viral infection causes staygreen, a survey of soybean staygreen incidence in the Huang-Huai-Hai river basin was conducted in 2016 and 2017.Diseased samples were collected and analyzed using DAS-ELISA for Soybean mosaic virus, Watermelon mosaic virus, Bean pod mottle virus, Cucumber mosaic virus, and Bean common mosaic virus.The survey showed that the severity of soybean staygreen syndrome was most prevalent in Beijing, Henan, Shaanxi, and some parts of Shandong provinces, with yield losses from 0 to nearly 100%, but only a small fraction of samples were positive for the tested viruses.A field cage experiment and an insecticide treatment field trial were conducted to determine the contribution of the bean bug, Riptortus pedestris, to staygreen incidence.The field cage experiment showed that R.pedestris treatment resulted in shorter plants, more empty pods, increased numbers of abnormal seeds, and decreased yields.The field experiment showed that there were fewer R.pedestris and less soybean staygreen incidence in fields treated with insecticide than in untreated control fields.Together, these results suggest that R.pedestris infestation rather than virus infection induces staygreen syndrome and that growers in this region can mitigate staygreen syndrome via bean bug control.

关键词： Soybean Staygreen syndrome Zhengqing DAS-ELISA Viral infection Bean bug (R. pedestris)

Metapopulation approach for landscape level management of western tarnished plant bug,Lygus hesperus,in Texas( Hemiptera,Miridae)

在线全文

学校读者我要写书评

暂无评论

植物保护学报 2014年第6期41卷 761-768页

作者： Parajulee Megha N Shrestha Ram B Texas A & M University System AgriLife Research and Extension Center

Insect source-sink dynamics are vital to ecologically intensive pest management. Maintaining sink plant hosts,or "trap crops",and destroying alternate hosts or breeding places adjacent to the field crop are effective pest management strategies for some arthropods. However,determining whether a host acts as a source or a sink is challenging, especially when the pest species is highly mobile and polyphagous. The western tarnished plant bug,Lygus hesperus,is highly polyphagous,and can utilize >300 hosts. Its presence has been documented in 26 roadside weed hosts in the Texas High Plains.Previous studies demonstrated that L. hesperus prefer alfalfa over cotton and several alternate weed hosts.A four-year project involved surveying and sampling for L. hesperus in the agricultural landscapes of several sub-regions of the southwestern United States,including the Texas High Plains. In Texas,geographic information of the landscape vegetation complex was compiled from a 150 km radius in the Texas High Plains. In one study,fifty irrigated cotton fields representing the crop diversity within this region were sampled via sweep-net for 10 weeks. This effort also included sampling of up to six noncotton insect habitats within a 3 km radius of each field. Seasonal average L. hesperus abundance data were regressed with 27 field characteristics( variables),including habitat-specific land cover,distance between focal cotton fields and non-cotton habitats,longitude,latitude,elevation,habitat heterogeneity index,and several environmental / ecological variables. Significant variables were selected using a stepwise regression at 15% probability rate. A 10-parameter linear model explained 93% of the variation in the data. Major parameters contributing significantly to variation in L. hesperus abundance in cotton were corn and sunflower acreages,focal cotton field distances from several non-cotton hosts,and habitat heterogeneity index. In addition,field marking-and-capture studies were conducted using protein markers and enzyme-linked im

关键词： western tarnished plant bug cotton IPM ecological pest management alternate host management

ML-CLUBAS: A Multi Label bug Classification Algorithm

在线全文

学校读者我要写书评

暂无评论

Journal of Software Engineering and Applications 2012年第12期5卷 983-990页

作者： Naresh Kumar Nagwani Shrish Verma Department of Computer Science & Engineering National Institute of Technology Raipur Raipur India Department of E&TC National Institute of Technology Raipur Raipur India

In this paper, a multi label variant of CLUBAS [1] algorithm, ML-CLUBAS (Multi Label-Classification of software bugs Using bug Attribute Similarity) is presented. CLUBAS is a hybrid algorithm, and is designed by using text clustering, frequent term calculations and taxonomic terms mapping techniques, and is an example of classification using clustering technique. CLUBAS is a single label algorithm, where one bug cluster is exactly mapped to a single bug category. However a bug cluster can be mapped into the more than one bug category in case of cluster label matches with the more than one category term, for this purpose ML-CLUBAS a multi label variant of CLUBAS is presented in this work. The designed algorithm is evaluated using the performance parameters F-measures and accuracy, number of clusters and purity. These parameters are compared with the CLUBAS and other multi label text clustering algorithms.

关键词： Software bug Mining Software bug Classification bug Clustering Classification Using Clustering bug Attribute Similarity Multi Label Classification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

软件事故报告表编写方法研究

计算机应用文摘 2022年第11期38卷 77-79页

作者：谢彭上海蓝灯人力资源有限公司上海200000

文章介绍了各类软件缺陷、故障、问题、bug等(统称为软件事故),并针对软件事故的发生经过、原因、后续解决方案等进行研究,提出了软件事故报告表编写方法。

关键词：软件事故软件测试 bug