Analysing defect inflow distribution of automotive software projects

Rana, Rakesh; Staron, Miroslaw; Berger, Christian; Hansson, Jörgen; Nilsson, Martin

doi:10.1145/2639490.2639507

Cited by 3 publications

(6 citation statements)

References 25 publications

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“…There are studies that reveal the best-fitted models for reliability in some types of projects. In [6] researchers investigated the distribution of defect inflow in automotive domain projects which could aid in finding the best-fitting SRGMs. This work presents that selecting the appropriate model is the most challenging part of the forecast.…”

Section: A Software Reliability Growth Modelsmentioning

confidence: 99%

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Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models

Anioła,

Pandey,

Staron

et al. 2023

Annals of Computer Science and Information Systems

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Context: predicting the number of defects in a defect backlog in a given time horizon can help allocate project resources and organize software development. Goal: to compare the accuracy of three defect backlog prediction methods in the context of large open-source (OSS) projects, i.e., ARIMA, Exponential Smoothing (ETS), and the state-of-the-art method developed at Ericsson AB (MS). Method: we perform a simulation study on a sample of 20 open-source projects to compare the prediction accuracy of the methods. Also, we use the Naïve prediction method as a baseline for sanity check. We use statistical inference tests and effect size coefficients to compare the prediction errors. Results: ARIMA, ETS, and MS were more accurate than the Naïve method. Also, the prediction errors were statistically lower for ETS than for MS (however, the effect size was negligible). Conclusions: ETS seems slightly more accurate than MS when predicting defect backlog size of OSS projects.

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Section: A Software Reliability Growth Modelsmentioning

confidence: 99%

“…Some of the paper's contents come from the corresponding author's master thesis [1]. [4], [5], [6]. One of the successful studies on defect backlog prediction was conducted at Ericsson by Staron and Meding [3].…”

Section: Introductionmentioning

confidence: 99%

Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models

Anioła,

Pandey,

Staron

et al. 2023

Annals of Computer Science and Information Systems

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show abstract

“…Based on the accumulation of studies on the initial activities of the schema, we hypothesize that the studies in question are primarily concerned with the development of new SPL rather than the long-term evolution of the product line. For example, architecture conformance checking related activities required to prevent architecture erosion in the long term are underrepresented in the studies: only four studies (P72 [44], P100 [49], P365 [65], P493 [69]) can be found which our researchers have mapped to this appropriate fields. Remarkably few studies address the product specific development cycle (application engineering) and only study P72 [44] exclusively addresses the product specific development cycle.…”

Section: State Of the Art In Holistic Approaches For Managed Evolutio...mentioning

confidence: 99%

“…For example, architecture conformance checking related activities required to prevent architecture erosion in the long term are underrepresented in the studies: only four studies (P72 [44], P100 [49], P365 [65], P493 [69]) can be found which our researchers have mapped to this appropriate fields. Remarkably few studies address the product specific development cycle (application engineering) and only study P72 [44] exclusively addresses the product specific development cycle. One reason for this could be that no specific methods and techniques are required for the product specific development cycle and, as in the classic SPL approach (cf.…”

Section: State Of the Art In Holistic Approaches For Managed Evolutio...mentioning

confidence: 99%

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Managed Evolution of Automotive Software Product Line Architectures: A Systematic Literature Study

et al. 2022

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The rapidly growing number of software-based features in the automotive domain as well as the special requirements in this domain ask for dedicated engineering approaches, models, and processes. Nowadays, software development in the automotive sector is generally developed as product line development, in which major parts of the software are kept adaptable in order to enable reusability of the software in different vehicle variants. In addition, reuse also plays an important role in the development of new vehicle generations in order to reduce development costs. Today, a high number of methods and techniques exist to support the product line driven development of software in the automotive sector. However, these approaches generally consider only partial aspects of development. In this paper, we present an in-depth literature study based on a conceptual model of artifacts and activities for the managed evolution of automotive software product line architectures. We are interested in the coverage of the particular aspects of the conceptual model and, thus, the fields covered in current research and research gaps, respectively. Furthermore, we aim to identify the methods and techniques used to implement automotive software product lines in general, and their usage scope in particular. As a result, this in-depth review reveals that none of the studies represent a holistic approach for the managed evolution of automotive software product lines. In addition, approaches from agile software development are of growing interest in this field.

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Verification and validation of embedded software in an automotive context: a systematic literature review

Arcanjo,

Martins,

Fernandes

2023

Revista Científica Multidisciplinar Núcleo do Conhecimento

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In automotive context, the embedded software Verification and Validation (V&V) is always a critical step for each project that involves testing solutions for new function, system optimization and compliance with legal requirements. However, automotive software V&V is laborious and time-consuming. Activities such as planning workshops at test tracks and public roads and functionality and durability tests require significant effort and robust coordination. The rigorous management and storage of test results are also a challenge. This review consolidates the state of the art on automotive software V&V to realize the most common standards in the industry and understand current testing concepts. The consolidated knowledge will help in the future development of a flexible V&V framework for embedded automotive software. A Systematic Literature Review (SLR) was performed by searching four digital libraries from 2011 to March 2022. Sixty-two papers were selected, which indicated that the automotive software V&V process is usually based on the ISO 26262 standard and that the software development life cycle V-model is the most common test platform in the automotive domain. Automotive software for a specific domain has been developed to cover a wide variety of vehicles. Variables from specific regions or countries can influence the entire V&V process for automotive software, such as differences in homologation requirements, infrastructure, driver behavior, customer desires, and electromagnetic force interference. The SLR identified specific characteristics of automotive software and regional factors that can affect the V&V process, as well as significant considerations to ensure correct decision-making, resource allocation, and support of team members.

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Analysing defect inflow distribution of automotive software projects

Cited by 3 publications

References 25 publications

Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models

Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models

Managed Evolution of Automotive Software Product Line Architectures: A Systematic Literature Study

Verification and validation of embedded software in an automotive context: a systematic literature review

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