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Investigating ARIMA models of software system quality

https://doi.org/10.1007/bf00404648
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/smr.4360030302openalex-snapshot
Predicting maintainability with software quality metrics
inferredcites →https://doi.org/10.1007/978-3-642-48354-7_5openalex-snapshot
Software Engineering Economics
inferredcites →https://doi.org/10.1007/bf00402294openalex-snapshot
An empirical study of program quality during testing and maintenance
inferredcites →https://doi.org/10.1007/bf01720922openalex-snapshot
An investigation of the maintenance and support characteristics of commercial software
inferredcites →https://doi.org/10.1016/0164-1212(81)90032-7openalex-snapshot
Software quality metrics based on interconnectivity
inferredcites →https://doi.org/10.1016/0164-1212(90)90051-mopenalex-snapshot
Applications of a relative complexity metric for software project management
inferredcites →https://doi.org/10.1109/32.135774openalex-snapshot
Methodology for validating software metrics
inferredcites →https://doi.org/10.1109/32.135775openalex-snapshot
The detection of fault-prone programs
inferredcites →https://doi.org/10.1109/32.256856openalex-snapshot
Software reliability model with optimal selection of failure data
inferredcites →https://doi.org/10.1109/32.67600openalex-snapshot
Predicting (individual) software productivity
inferredcites →https://doi.org/10.1109/49.46879openalex-snapshot
Predicting software development errors using software complexity metrics
inferredcites →https://doi.org/10.1109/52.199724openalex-snapshot
Operational profiles in software-reliability engineering
inferredcites →https://doi.org/10.1109/icsm.1990.131320openalex-snapshot
Insights on improving the maintenance process through software measurement
inferredcites →https://doi.org/10.1109/icsm.1994.336789openalex-snapshot
Improving code churn predictions during the system test and maintenance phases
inferredcites →https://doi.org/10.1109/issre.1991.145346openalex-snapshot
The use of software complexity metrics in software reliability modeling
inferredcites →https://doi.org/10.1109/proc.1984.12932openalex-snapshot
Software engineering economics
inferredcites →https://doi.org/10.1109/tse.1976.233837openalex-snapshot
A Complexity Measure
inferredcites →https://doi.org/10.1109/tse.1979.226497openalex-snapshot
A Measure of Control Flow Complexity in Program Text
inferredcites →https://doi.org/10.1109/tse.1985.231889openalex-snapshot
Assessing (Software) Reliability Growth Using a Random Coefficient Autoregressive Process and Its Ramifications
inferredcites →https://doi.org/10.1109/tse.1985.232222openalex-snapshot
Identifying Error-Prone Software—An Empirical Study
inferredcites →https://doi.org/10.1145/74587.74618openalex-snapshot
An error complexity model for software reliability measurement
inferredcites →https://doi.org/10.1177/0268396291006003-421openalex-snapshot
Software Metrics. A Rigorous Approach
inferredcites →https://doi.org/10.2307/3008255openalex-snapshot
Time Series Analysis Forecasting and Control.
inferredcites →https://doi.org/10.2307/3150485openalex-snapshot
Time Series Analysis: Forecasting and Control

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-642-10242-4_11openalex-snapshot
The Prediction Model of Software Reliability Based on Fractals
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.08.006openalex-snapshot
On deterministic chaos in software reliability growth models
inferred← citeshttps://doi.org/10.1016/j.ress.2013.05.021openalex-snapshot
A dynamic particle filter-support vector regression method for reliability prediction
inferred← citeshttps://doi.org/10.1016/s0026-2714(96)00284-3openalex-snapshot
Improving software reliability forecasting
inferred← citeshttps://doi.org/10.1016/s0951-8320(00)00013-2openalex-snapshot
Non-stationary functional series modeling and analysis of hardware reliability series: a comparative study using rail vehicle interfailure times
inferred← citeshttps://doi.org/10.1109/metric.1996.492454openalex-snapshot
Evaluation and application of complexity-based criticality models
inferred← citeshttps://doi.org/10.1109/tsmca.2006.886364openalex-snapshot
Software-Reliability Modeling: The Case for Deterministic Behavior
inferred← citeshttps://doi.org/10.1142/s0218539306002434openalex-snapshot
DYNAMIC MODELS FOR TESTING BASED ON TIME SERIES ANALYSIS
inferred← citeshttps://doi.org/10.1587/transinf.e93.d.376openalex-snapshot
The Software Reliability Model Based on Fractals
inferred← citeshttps://doi.org/10.3923/itj.2010.331.336openalex-snapshot
The Software Reliability Forecasting Method Using Fractals
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