SuMo: A mutation testing approach and tool for the Ethereum blockchain
Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contex...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Barboni, Morena [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Ca2+-mediated regulation of VDAC1 expression levels is associated with cell death induction - Weisthal, Shira ELSEVIER, 2014transfer abstract, JSS, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:193 ; year:2022 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.jss.2022.111445 |
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ELV058815074 |
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| 520 | |a Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. | ||
| 520 | |a Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. | ||
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| 700 | 1 | |a Polini, Andrea |4 oth | |
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10.1016/j.jss.2022.111445 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001889.pica (DE-627)ELV058815074 (ELSEVIER)S0164-1212(22)00141-8 DE-627 ger DE-627 rakwb eng 570 VZ 004 VZ 50.32 bkl 50.16 bkl Barboni, Morena verfasserin aut SuMo: A mutation testing approach and tool for the Ethereum blockchain 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Test automation Elsevier Solidity Elsevier Blockchain Elsevier Smart contract Elsevier Mutation testing Elsevier Morichetta, Andrea oth Polini, Andrea oth Enthalten in Elsevier Weisthal, Shira ELSEVIER Ca2+-mediated regulation of VDAC1 expression levels is associated with cell death induction 2014transfer abstract JSS Amsterdam [u.a.] (DE-627)ELV022534245 volume:193 year:2022 pages:0 https://doi.org/10.1016/j.jss.2022.111445 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 193 2022 0 |
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10.1016/j.jss.2022.111445 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001889.pica (DE-627)ELV058815074 (ELSEVIER)S0164-1212(22)00141-8 DE-627 ger DE-627 rakwb eng 570 VZ 004 VZ 50.32 bkl 50.16 bkl Barboni, Morena verfasserin aut SuMo: A mutation testing approach and tool for the Ethereum blockchain 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Test automation Elsevier Solidity Elsevier Blockchain Elsevier Smart contract Elsevier Mutation testing Elsevier Morichetta, Andrea oth Polini, Andrea oth Enthalten in Elsevier Weisthal, Shira ELSEVIER Ca2+-mediated regulation of VDAC1 expression levels is associated with cell death induction 2014transfer abstract JSS Amsterdam [u.a.] (DE-627)ELV022534245 volume:193 year:2022 pages:0 https://doi.org/10.1016/j.jss.2022.111445 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 193 2022 0 |
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10.1016/j.jss.2022.111445 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001889.pica (DE-627)ELV058815074 (ELSEVIER)S0164-1212(22)00141-8 DE-627 ger DE-627 rakwb eng 570 VZ 004 VZ 50.32 bkl 50.16 bkl Barboni, Morena verfasserin aut SuMo: A mutation testing approach and tool for the Ethereum blockchain 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Test automation Elsevier Solidity Elsevier Blockchain Elsevier Smart contract Elsevier Mutation testing Elsevier Morichetta, Andrea oth Polini, Andrea oth Enthalten in Elsevier Weisthal, Shira ELSEVIER Ca2+-mediated regulation of VDAC1 expression levels is associated with cell death induction 2014transfer abstract JSS Amsterdam [u.a.] (DE-627)ELV022534245 volume:193 year:2022 pages:0 https://doi.org/10.1016/j.jss.2022.111445 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 193 2022 0 |
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10.1016/j.jss.2022.111445 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001889.pica (DE-627)ELV058815074 (ELSEVIER)S0164-1212(22)00141-8 DE-627 ger DE-627 rakwb eng 570 VZ 004 VZ 50.32 bkl 50.16 bkl Barboni, Morena verfasserin aut SuMo: A mutation testing approach and tool for the Ethereum blockchain 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Test automation Elsevier Solidity Elsevier Blockchain Elsevier Smart contract Elsevier Mutation testing Elsevier Morichetta, Andrea oth Polini, Andrea oth Enthalten in Elsevier Weisthal, Shira ELSEVIER Ca2+-mediated regulation of VDAC1 expression levels is associated with cell death induction 2014transfer abstract JSS Amsterdam [u.a.] (DE-627)ELV022534245 volume:193 year:2022 pages:0 https://doi.org/10.1016/j.jss.2022.111445 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 193 2022 0 |
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10.1016/j.jss.2022.111445 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001889.pica (DE-627)ELV058815074 (ELSEVIER)S0164-1212(22)00141-8 DE-627 ger DE-627 rakwb eng 570 VZ 004 VZ 50.32 bkl 50.16 bkl Barboni, Morena verfasserin aut SuMo: A mutation testing approach and tool for the Ethereum blockchain 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. Test automation Elsevier Solidity Elsevier Blockchain Elsevier Smart contract Elsevier Mutation testing Elsevier Morichetta, Andrea oth Polini, Andrea oth Enthalten in Elsevier Weisthal, Shira ELSEVIER Ca2+-mediated regulation of VDAC1 expression levels is associated with cell death induction 2014transfer abstract JSS Amsterdam [u.a.] (DE-627)ELV022534245 volume:193 year:2022 pages:0 https://doi.org/10.1016/j.jss.2022.111445 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.32 Dynamik Schwingungslehre Technische Mechanik VZ 50.16 Technische Zuverlässigkeit Instandhaltung VZ AR 193 2022 0 |
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Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. |
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Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. |
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Blockchain technologies have had a rather disruptive impact on many sectors of the contemporary society. The establishment of virtual currencies is probably the most representative case. Nonetheless, the inherent support to trustworthy electronic interactions has widened the possible adoption contexts. In the last years, the introduction of Smart Contracts has further increased the potential impact of such technologies. These self-enforcing programs have interesting peculiarities (e.g., code immutability) that require innovative testing strategies. This paper presents a mutation testing approach for assessing the quality of test suites accompanying Smart Contracts written in Solidity, the language used by the Ethereum Blockchain. Specifically, we propose a novel suite of mutation operators capable of simulating a wide variety of traditional programming errors and Solidity-specific faults. The operators come in two flavors: Optimized, for faster mutation testing campaigns, and Non-Optimized, for performing a more thorough adequacy assessment. We implemented our approach in a proof-of-concept work, SuMo (SOlidity MUtator), and we evaluated its effectiveness on a set of real-world Solidity projects. The experiments highlighted a recurrent low Mutation Score for the test suites shipped with the selected applications. Moreover, analyzing the surviving mutants of a selected project helped us to identify faulty test cases and Smart Contract code. These results suggest that SuMo can concretely improve the fault-detection capabilities of a test suite, and help to deliver more reliable Solidity code. |
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