Test coverage evaluation is one of the most critical issues in microprocessor software-based testing. Whenever the test is developed in the absence of a structural model of the microprocessor, the evaluation of the final test coverage may become a major issue. In this paper, we present a microprocessor modeling technique based on entity-relationship diagrams allowing the definition and the computation of custom coverage functions. The proposed model is very flexible and particularly effective when a structural model of the microprocessor is not available.
Using ER Models for Microprocessor Functional Test Coverage Evaluation / Benso, Alfredo; DI CARLO, Stefano; Prinetto, Paolo Ernesto; Savino, Alessandro; Scionti, A.. - STAMPA. - (2008), pp. 139-142. (Intervento presentato al convegno IEEE 11th International Biennial Baltic Electronics Conference (BEC) tenutosi a Tallinn, EE nel 6-8 Oct. 2008) [10.1109/BEC.2008.4657498].
Using ER Models for Microprocessor Functional Test Coverage Evaluation
BENSO, Alfredo;DI CARLO, STEFANO;PRINETTO, Paolo Ernesto;SAVINO, ALESSANDRO;
2008
Abstract
Test coverage evaluation is one of the most critical issues in microprocessor software-based testing. Whenever the test is developed in the absence of a structural model of the microprocessor, the evaluation of the final test coverage may become a major issue. In this paper, we present a microprocessor modeling technique based on entity-relationship diagrams allowing the definition and the computation of custom coverage functions. The proposed model is very flexible and particularly effective when a structural model of the microprocessor is not available.| File | Dimensione | Formato | |
|---|---|---|---|
| 
									
										
										
										
										
											
												
												
												    
												
											
										
									
									
										
										
											2008-BEC-ER-AuthorVersion.pdf
										
																				
									
										
											 accesso aperto 
											Descrizione: Manuscript author version
										 
									
									
									
										
											Tipologia:
											2. Post-print / Author's Accepted Manuscript
										 
									
									
									
									
										
											Licenza:
											
											
												Pubblico - Tutti i diritti riservati
												
												
												
											
										 
									
									
										Dimensione
										5.02 MB
									 
									
										Formato
										Adobe PDF
									 
										
										
								 | 
								5.02 MB | Adobe PDF | Visualizza/Apri | 
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/1870166
			
		
	
	
	
			      	Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
