The Experts below are selected from a list of 1005 Experts worldwide ranked by ideXlab platform
Liane Praza - One of the best experts on this subject based on the ideXlab platform.
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understanding what software engineers are working on the work item prediction challenge
International Conference on Program Comprehension, 2020Co-Authors: Ralf Lammel, Alvin Kerber, Liane PrazaAbstract:Understanding what a software engineer (a developer, an Incident Responder, a production engineer, etc.) is working on is a challenging problem -- especially when considering the more complex software engineering workflows in software-intensive organizations: i) engineers rely on a multitude (perhaps hundreds) of loosely integrated tools; ii) engineers engage in concurrent and relatively long running workflows; ii) infrastructure (such as logging) is not fully aware of work items; iv) engineering processes (e.g., for Incident response) are not explicitly modeled. In this paper, we explain the corresponding 'work-item prediction challenge' on the grounds of representative scenarios, report on related efforts at Facebook, discuss some lessons learned, and review related work to call to arms to leverage, advance, and combine techniques from program comprehension, mining software repositories, process mining, and machine learning.
Ralf Lammel - One of the best experts on this subject based on the ideXlab platform.
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understanding what software engineers are working on the work item prediction challenge
International Conference on Program Comprehension, 2020Co-Authors: Ralf Lammel, Alvin Kerber, Liane PrazaAbstract:Understanding what a software engineer (a developer, an Incident Responder, a production engineer, etc.) is working on is a challenging problem -- especially when considering the more complex software engineering workflows in software-intensive organizations: i) engineers rely on a multitude (perhaps hundreds) of loosely integrated tools; ii) engineers engage in concurrent and relatively long running workflows; ii) infrastructure (such as logging) is not fully aware of work items; iv) engineering processes (e.g., for Incident response) are not explicitly modeled. In this paper, we explain the corresponding 'work-item prediction challenge' on the grounds of representative scenarios, report on related efforts at Facebook, discuss some lessons learned, and review related work to call to arms to leverage, advance, and combine techniques from program comprehension, mining software repositories, process mining, and machine learning.
Alvin Kerber - One of the best experts on this subject based on the ideXlab platform.
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understanding what software engineers are working on the work item prediction challenge
International Conference on Program Comprehension, 2020Co-Authors: Ralf Lammel, Alvin Kerber, Liane PrazaAbstract:Understanding what a software engineer (a developer, an Incident Responder, a production engineer, etc.) is working on is a challenging problem -- especially when considering the more complex software engineering workflows in software-intensive organizations: i) engineers rely on a multitude (perhaps hundreds) of loosely integrated tools; ii) engineers engage in concurrent and relatively long running workflows; ii) infrastructure (such as logging) is not fully aware of work items; iv) engineering processes (e.g., for Incident response) are not explicitly modeled. In this paper, we explain the corresponding 'work-item prediction challenge' on the grounds of representative scenarios, report on related efforts at Facebook, discuss some lessons learned, and review related work to call to arms to leverage, advance, and combine techniques from program comprehension, mining software repositories, process mining, and machine learning.
Praza Liane - One of the best experts on this subject based on the ideXlab platform.
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Understanding What Software Engineers Are Working on -- The Work-Item Prediction Challenge
2020Co-Authors: Lämmel Ralf, Kerber Alvin, Praza LianeAbstract:Understanding what a software engineer (a developer, an Incident Responder, a production engineer, etc.) is working on is a challenging problem -- especially when considering the more complex software engineering workflows in software-intensive organizations: i) engineers rely on a multitude (perhaps hundreds) of loosely integrated tools; ii) engineers engage in concurrent and relatively long running workflows; ii) infrastructure (such as logging) is not fully aware of work items; iv) engineering processes (e.g., for Incident response) are not explicitly modeled. In this paper, we explain the corresponding 'work-item prediction challenge' on the grounds of representative scenarios, report on related efforts at Facebook, discuss some lessons learned, and review related work to call to arms to leverage, advance, and combine techniques from program comprehension, mining software repositories, process mining, and machine learning.Comment: This paper appears in Proceedings of 28th International Conference on Program Comprehension, ICPC 2020. The subject of the paper is covered by the first author's keynote at the same conferenc
Dario Forte - One of the best experts on this subject based on the ideXlab platform.
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Incident Responder: The responsibilities of an Incident Responder
Network Security archive, 2010Co-Authors: Dario ForteAbstract:Being part of an Incident response and digital forensics team is still a good choice in terms of income and career opportunities. Security Incident and digital investigation management is not an area of cyclical importance, but a fully-fledged part of all company security governance processes, which involves both legal compliance and business continuity. The result is that many companies, suppliers and individual professionals invest in related skills and structures, quite rightly in my opinion, in order to increase their competitive edge. With the passing of time, the levels of responsibility associated with security Incident management have risen, both regarding legal issues and in terms of business processes. It is clear that both aspects are quite important. In this article we will get an idea of the evolutionary trend in responsibilities assigned to practitioners of this profession.
