Mining Requirements Knowledge from Operational Experience

Lutz, Robyn R.; Lavin, M. L.; Lux, James; Peters, K. E.; Rouquette, Nicolas

doi:10.1007/978-3-642-34419-0_3

Cited by 5 publications

(2 citation statements)

References 34 publications

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“…As a result, significant effort and cost might have been saved if our current catalog had been available and used in this case. While these data are anecdotal, they tend to confirm our experience that preventing the recurrence of known failures in new systems continues to be challenging [22].…”

Section: Discussionsupporting

confidence: 63%

The Role of Environmental Assumptions in Failures of DNA Nanosystems

Tun¹,

Lutz²,

Nakayama³

et al. 2015

2015 IEEE/ACM 1st International Workshop on Complex Faults and Failures in Large Software Systems (COUFLESS)

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Many failures arise from complex and imperfectly understood interactions of a computational system with aspects of the environment in which it operates. By environment we mean the computational system's broader context, also called the problem world. In this work, we propose a new analysis technique called failure frames, a variation of Jackson's problem frames, to identify and model classes of environmental assumptions whose violation is known from experience to have prevented the requirements from being satisfied. We use instances of failure frames, called failure diagrams, to make explicit in the requirements model the environmental assumptions that contributed to past failures. Developers want to reuse such knowledge of past failures to prevent failures in similar, new systems. We show that failure frames and failure diagrams can capture environmental assumptions that developers need to check in order to prevent recurrence of certain failures in similar application areas. The new failure frame approach that we describe arose from our work in molecular programming of DNA nanosystems. Inaccurate assumptions about the environment are a source of many failures in DNA nanosystems and can be extremely challenging to resolve. We describe the structure of a failure catalog for DNA nanosystems that we have prototyped for use by molecular programmers. We hypothesize that the failure frame approach and catalog can be broadly useful for reducing failure recurrence in other large, distributed applications with autonomous or nondeterministic behavior that must operate in uncertain environments.

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Section: Discussionsupporting

confidence: 63%

The Role of Environmental Assumptions in Failures of DNA Nanosystems

Tun¹,

Lutz²,

Nakayama³

et al. 2015

2015 IEEE/ACM 1st International Workshop on Complex Faults and Failures in Large Software Systems (COUFLESS)

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“…This process establishes and maintains agreement between various stakeholders in order to achieve the consistent and clear communication between stakeholders, as well as share all needed changes with relevant stakeholders effectively. The good requirements management process has a positive effect on the entire development process.Briefly, the requirements management process should be able to access, capture and share the right information to the right stakeholder at the right time [18].…”

Section: B Requirements Managementmentioning

confidence: 99%

Considering Stakeholders’ Feedback in Requirements Prioritization using Social Network Analysis

Hamad¹,

El‐Sayed²,

Abdelmoez³

et al. 2016

IJCSE

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Requirements prioritization plays a significant role to ensure successful planning of software releases. It helps software stakeholders to discover the most desirable requirements. In this paper, we propose requirements prioritization approach using social network analysis based on stakeholders' feedback. The social network models the relationships among stakeholders, their feedback and the system requirements. A string-matching algorithm is used to automate the discovery process of the relationship between stakeholders' feedbacks and requirements specifications based on text similarity. Then, the network is analysed to identify the priority of requirements depending on relevant groups of stakeholders and their feedbacks. As an attempt to validate the results, focus group is conducted to discover the relationship between the stakeholders' feedbacks and the requirements by manually matching each feedback with its related system requirement. Then, social network is built based on the results of the focus group and the system requirements are prioritized based on the network. The results of the two approaches are compared. The experimental results proved that there is a difference between the approach that uses string-matching and the focus group approach. The string-matching approach does not seem to be very appropriate in capturing the real relationship between the stakeholders' feedbacks and the requirements.

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An Introduction to Requirements Knowledge

Maalej

Thurimella

2013

Managing Requirements Knowledge

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Mining Requirements Knowledge from Operational Experience

Cited by 5 publications

References 34 publications

The Role of Environmental Assumptions in Failures of DNA Nanosystems

The Role of Environmental Assumptions in Failures of DNA Nanosystems

Considering Stakeholders’ Feedback in Requirements Prioritization using Social Network Analysis

An Introduction to Requirements Knowledge

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