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Industrial Experiences from Evolving Measurement Systems into Self-Healing Systems for Improved Availability

Artikel i vetenskaplig tidskrift
Författare Miroslaw Staron
Wilhelm Meding
Matthias Tichy
Jonas Bjurhede
Holger Giese
Ola Söder
Publicerad i Software, Practice & Experience
Volym 48
Nummer/häfte 3
ISSN 0038-0644
Publiceringsår 2018
Publicerad vid Institutionen för data- och informationsteknik (GU)
Institutionen för data- och informationsteknik, Software Engineering (GU)
Språk en
Länkar doi.org/10.1002/spe.2522
Ämneskategorier Programvaruteknik

Sammanfattning

Automated measurement programs are an efficient way of collecting, processing and visualizing measures in large software development companies. The number of measurements in these programs is usually large, which is caused by diversity of the needs of the stakeholders. In this paper we present the application of self-healing concepts to assure the availability of measurements to stakeholders without the need for effort-intensive and costly manual interventions of the operators. We study the measurement infrastructure at one of the development units of a large infrastructure provider. In this paper we present how MAPE-K model was instantiated in a simplistic manner in order to reduce the need for manual intervention in the operation of measurement systems. Based on the experiences from the two cases studied in this paper we show how an evolution towards self-healing measurement systems is done both with a dedicated failure taxonomy and with an effective straightforward handling of the most common errors in the execution. The mechanisms studied and presented in this paper show that self-healing provides significant improvements to the operation of the measurement program and reduces the need for daily oversight by an operator for the measurement systems.

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Utskriftsdatum: 2019-12-13