Abstract: A consistency verification tool performs a consistency check on subscriber data records stored in the cellular telephone system. One such consistency check analyzes subscriber data records in a home location register (HLR) and a billing system to determine the presence of duplicate records. Duplicate records can be stored in a duplicate record file for later analysis. During the duplicate record consistency analysis, the consistency verification tool creates a record list. The record list can be a linked list structure for storing main records and duplicate records in a manner that facilitates identifying families of duplicate records. The consistency verification tool can also perform inter-device consistency checks. For example, the subscriber data stored on the HLR can be compared to the subscriber data stored in the billing system to ensure that the two systems have consistent subscriber data.

Abstract: A computer code generation tool generates computer code to facilitate development of call detail record (CDR) management tools. The computer code generation tool inputs one or more raw CDR structures and creates a generic CDR structure therefrom. Given a generic CDR structure and one or more raw CDR structures that it encapsulates, the computer code generation tool generates computer code to read data from the raw CDR(s) stored on disk and store that data in the generic CDR. The computer code generation tool can also generate computer code to generate raw CDRs from the data stored in the generic CDR.

Abstract: A call detail record (CDR) management tool is used to calculate statistics using data in one or more CDRs, view data in one or more CDRs and extract one or more CDRs. The CDRs are generated by a switch and stored in a raw binary format. The raw CDRs are converted from a raw format to a generic format to facilitate the management tool's operations. Statistics include any statistic that can be calculated from telephone call data stored in the CDRs. The viewer allows viewing and storage of one or more fields of CDR data. The extraction tool can store extracted CDRs in raw format or generic format.

Abstract: A call detail record (CDR) management tool is used to calculate statistics using data in one or more CDRs, view data in one or more CDRs and extract one or more CDRs. The CDRs are generated by a switch and stored in a raw binary format. The raw CDRs are converted from a raw format to a generic format to facilitate the management tool's operations. Statistics include any statistic that can be calculated from telephone call data stored in the CDRs. The viewer allows viewing and storage of one or more fields of CDR data. The extraction tool can store extracted CDRs in raw format or generic format.

Abstract: A computer code generation tool generates computer code to facilitate development of call detail record (CDR) management tools. The computer code generation tool inputs one or more raw CDR structures and creates a generic CDR structure therefrom. Given a generic CDR structure and one or more raw CDR structures that it encapsulates, the computer code generation tool generates computer code to read data from the raw CDR(s) stored on disk and store that data in the generic CDR. The computer code generation tool can also generate computer code to generate raw CDRs from the data stored in the generic CDR.

Abstract: A consistency verification tool performs a consistency check on subscriber data records stored in the cellular telephone system. One such consistency check analyzes subscriber data records in a home location register (HLR) and a billing system to determine the presence of duplicate records. Duplicate records can be stored in a duplicate record file for later analysis. During the duplicate record consistency analysis, the consistency verification tool creates a record list. The record list can be a linked list structure for storing main records and duplicate records in a manner that facilitates identifying families of duplicate records. The consistency verification tool can also perform inter-device consistency checks. For example, the subscriber data stored on the HLR can be compared to the subscriber data stored in the billing system to ensure that the two systems have consistent subscriber data.