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    • 2. 发明申请
    • Identifying Cause of Incidents in the DevOps Environment Automatically
    • 识别DevOps环境中的事故原因
    • US20160350103A1
    • 2016-12-01
    • US14722405
    • 2015-05-27
    • International Business Machines Corporation
    • Yurdaer N. DoganataJames L. JonesDavid L. Leigh
    • G06F9/44G06F11/36G06F9/445
    • G06F8/70G06F8/60G06F8/71G06F11/368G06F11/3692
    • In one aspect, a method for identifying software development teams causing operation incidents when changing and deploying code is provided. The method includes the steps of: collecting data regarding i) a number of deployed change requests for each of the software development teams and ii) a total number of incident reports; generating a time series for the number of deployed change requests for each of the software development teams and a time series for the total number of incident reports created; performing causality testing between the time series for the number of deployed change requests for each of the software development teams and the time series for the total number of incident reports created; and determining whether the total number of incident reports created can be expressed in terms of the number of deployed change requests for any of the software teams.
    • 在一方面,提供了一种在更改和部署代码时识别导致操作事件的软件开发团队的方法。 该方法包括以下步骤:收集有关i)为每个软件开发团队部署的变更请求数量的数据,以及ii)事件报告总数; 为每个软件开发团队生成部署的更改请求数量的时间序列,以及创建的事件报告总数的时间序列; 在每个软件开发团队部署的更改请求数量的时间序列之间进行因果关系测试,以及创建的事件报告总数的时间序列; 并确定创建的事件报告总数是否可以用任何软件团队部署的更改请求的数量来表示。
    • 3. 发明授权
    • Adaptive algorithm for cloud admission policies
    • 云接纳政策的自适应算法
    • US09391919B2
    • 2016-07-12
    • US13966792
    • 2013-08-14
    • International Business Machines Corporation
    • Yurdaer N. DoganataMalgorzata SteinderAsser N. TantawiMerve Unuvar
    • G06F15/16H04L12/911G06F9/50G06F9/455
    • H04L47/78G06F9/5083G06F2009/4557G06F2209/5019
    • Disclosed is a novel system and method for managing requests for an additional virtual machine. The method begins with operating at least one virtual machine accessing at least one computer resource associated with at least one physical machine within a computing cluster. One or more non-deterministic virtual machine requests for the computer resource are received. An over-utilization of the computer resource as a probability distribution function is modeled. In one example, the probability distribution function is a Beta distribution function to represent a one of a plurality of probability distribution functions. Next, an additional virtual machine on the physical machine associated with the computer resource is added in response to a probability of a utilization of the computer resource being greater than a probabilistic bound on the over-utilization of the computer resource. Otherwise, the additional virtual machine is not added.
    • 公开了一种用于管理对附加虚拟机的请求的新型系统和方法。 该方法开始于操作至少一个虚拟机访问与计算集群内的至少一个物理机相关联的至少一个计算机资源。 接收对计算机资源的一个或多个非确定性虚拟机请求。 对计算机资源作为概率分布函数的过度利用被建模。 在一个示例中,概率分布函数是表示多个概率分布函数之一的Beta分布函数。 接下来,响应于计算机资源的利用率大于对计算机资源的过度利用的概率限制的概率,添加与计算机资源相关联的物理机上的附加虚拟机。 否则,不添加额外的虚拟机。
    • 6. 发明申请
    • Measuring Change in Software Developer Behavior Under Pressure
    • 测量压力下软件开发人员行为的变化
    • US20160350692A1
    • 2016-12-01
    • US14722373
    • 2015-05-27
    • International Business Machines Corporation
    • Yurdaer N. DoganataJames L. JonesDavid L. Leigh
    • G06Q10/06G06Q10/10G06F9/44
    • G06Q10/06398G06F8/77G06Q10/103
    • In one aspect, a method for detecting changes in behavior of developers in a software development process is provided which includes the steps of: using a frequency of a number of daily software commits (Nc) and an average number of files submitted per software commit (Nf) to detect when given instances of (Nc, Nf) are below a first predetermined threshold, which is a first indicator of developer behavior under pressure; using, for comparison, an average number of messages exchanged daily by members of a plurality of software development teams to detect when a number of messages exchanged daily by members of a given software development team is below a second predetermined threshold, which is a second indicator of the developer behavior under pressure; and generating an alert if either the first indicator or the second indicator of the developer behavior under pressure occurs.
    • 一方面,提供了一种用于检测软件开发过程中开发人员的行为变化的方法,其包括以下步骤:使用多个每日软件提交(Nc)的频率和每个软件提交提交的平均文件数( Nf)来检测(Nc,Nf)的给定情况是否低于第一预定阈值,其是压力下显影剂行为的第一指标; 为了比较,使用多个软件开发团队的成员每天交换的消息的平均数量,以检测由给定软件开发团队的成员每天交换的消息的数量是否低于第二预定阈值,其是第二指示符 的开发商行为压力; 并且如果发生压力下的显影剂行为的第一指示符或第二指示符,则生成警报。